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Review

A Survey of GIS and IoT Integration: Applications and Architecture

by
Jalal Safari Bazargani
1,†,
Abolghasem Sadeghi-Niaraki
1,2,† and
Soo-Mi Choi
2,*
1
Geoinformation Technology Center of Excellence, Faculty of Geodesy & Geomatics Engineering, K.N. Toosi University of Technology, Tehran 19697, Iran
2
Department of Computer Science and Engineering, Convergence Engineering for Intelligent Drone, Sejong University, Seoul 143747, Korea
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Appl. Sci. 2021, 11(21), 10365; https://doi.org/10.3390/app112110365
Submission received: 17 October 2021 / Revised: 28 October 2021 / Accepted: 29 October 2021 / Published: 4 November 2021
(This article belongs to the Special Issue Internet of Things (IoT) in Smart Cities)
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Abstract

:
IoT, as an emerging technology along with GIS, can result in advanced and user-friendly features in Smart Cities. In order to investigate the capabilities offered by these technologies, this paper provides an overview of GIS and IoT integration focusing on applications and architecture. Specifically, this paper starts with investigating the role of GIS and IoT separately and jointly in different domains. Then, a review of GIS and IoT integration studies is provided to examine how GIS could be used in IoT architecture. The results showed that the capabilities of GIS in dealing with geospatial data and attributes along with offering visualization and analyzing tools make it possible to develop an integrated system benefiting from real-time data collection and real-time monitoring provided by IoT. The presented details would assist researchers in future studies on utilizing GIS and IoT at the same time.

1. Introduction

1.1. Internet of Things

Internet-of-Things (IoT) [1,2,3] concentrates on enabling communication between Things. It is a broadband network that uses standard communication protocols [4]. The term “Things” refers to computing devices, objects, etc. which are connected through the Internet, therefore, they have a unique Internet Protocol (IP) address [5,6]. IoT can provide a network, over which data is transferred, and Things in this network would play a role of consumers or providers. Each sensor produces data and passes it to consumers to make them aware of the current state. By 2025, it is predicted that the number of IoT devices will be well over 21 billion devices [7]. Therefore, the impact of IoT in everyday life will be inevitable. As an example, with the development of digital technologies, the presence of IoT in smart city aspects including smart building, smart healthcare, smart education is explicit [8,9]. The unquestionable impact of IoT can be observed from viewpoint of both private and business users [10]. Smart homes, assisted robots, etc. are some examples which a private user will experience. On the other hand, automation in manufacturing can be a use case for a business user.

1.2. GIS

Geospatial Information System (GIS) [11,12,13,14] is a powerful set of tools that deal with capturing geospatial data, managing that data in a database, analyzing and pattern recognition, and finally visualizing information. Reference [15] highlights the intelligence version of geospatial topics in the near future which can be a testimony to the great potentialities of GIS. As the main characterization of GIS, it is capable of describing each entity by spatial data through its location and shape. GIS functionalities cover a wide range of applications [16,17]. To be more specific, this framework is helpful in dealing with the users’ queries which can be divided into three types of naming: Factual, Graphical, and Spatial [11]. The four capabilities of GIS are mentioned at the beginning of Section 1.2. (Capturing, Managing, Analyzing, Visualizing) are involved in the process of answering users’ queries. That is to say after the data is captured, according to the type of users’ queries, GIS can perform some analysis in order to provide appropriate outputs. Presenting the storage capacities of all reservoirs located in parcels of a city, visualizing the distribution of shopping malls at the city center, locating parcels within 2 km of a power plant are respectively some examples of Factual, Graphical, and Spatial queries.

1.3. Motivation

As it is discussed, the emergence of IoT into real life is getting noticeable [4,7,9,18]. Although the rapid growth of technologies will result in addressing a wide variety of problems, it will cause challenges, too. Hence, an integrated version of IoT with other technologies not only would be a great step toward facing those challenges but also can solve the problems more optimally. GIS, with the vast number of functionalities, could be a part of those mentioned integrated versions [19]. Since geography can be considered as an indispensable part of many applications, many studies have been done to research a new layer of IoT [20] and that is the involvement of GIS into it [21]. In addition to playing the role in a new layer of IoT, each node in IoT needs a unique IP which means a unique geographical location. Therefore, the existence of GIS in IoT-based systems is unquestionable. With the capability of dealing with spatial and attribute data, GIS could also be easily scaled up for different applications and locations. Besides, traditional GIS and pure GIS systems suffer from a low level of coordination and automation due to the constrained computing resources and inability to accommodate marginalized groups [22,23]. Therefore, the involvement of IoT in GIS systems can lead to an optimal system that no longer is error-prone, time-consuming as much as before [24]. In conclusion, GIS and IoT can be beneficial to both current IoT or GIS-based systems, and integration of these two technologies is a win-win situation. For the current state of this research field, few papers were found investigating the integration of IoT and GIS in terms of application and architecture at the same time [25]; furthermore, they had focused on specific areas and not explored the whole integration in different kinds of application. The lack of enough review studies for this kind of integration would be another testimony to the significance of this study.
In this paper, GIS and IoT integration studies are reviewed. The purpose is to examine the different combinations of these technologies and see how GIS has been taken into account. The study is based on a two-step approach. In the first step, use cases of IoT and GIS combination are categorized into seven groups and in each category, a summary of related literature is provided. As one of the novelties of this paper, the capabilities and challenges of the systems using only one of these technologies are discussed and at the end, papers benefiting from the integrated versions of IoT and GIS are investigated to see the enhancement compared to the previous systems. Then, as the second novelty of this study, GIS and IoT architectures are defined and studies utilizing GIS in their proposed IoT-based system are summarized to analyze the role of GIS.
The goals that this study aims to satisfy are:
(i)
What are the capabilities offered by systems benefiting from just IoT or GIS in each application category?
(ii)
What are the capabilities offered by using IoT and GIS simultaneously?
(iii)
How GIS can be employed in IoT architecture?
The rest of the paper is structured as follows. The methodology of the study is discussed in Section 2. GIS and IoT integrated use case studies are discussed in Section 3. In Section 4, in addition to introducing IoT and GIS architectures, the architectures of integrated IoT and GIS systems are discussed. The discussion of analyzing studies is addressed in Section 5. Section 6 concludes with a summary and directions for future research.

2. Materials and Methods

At first, several review papers discussing IoT and GIS were examined to obtain some keywords for further steps. Then, with the help of Google Scholar and Scopus, expected articles were exported. In the screening stage, the title and abstract of each paper were read to include or exclude the paper. Finally, considering the possibility of retrieving the full text of articles, appropriate papers were selected for full-text examination. Through this step, data such as application domain, architecture, the role of GIS, targeted challenges, and limitation of papers were extracted, and providing such data was considered as the inclusion criteria for papers. The results of classifying and analyzing the extracted data are discussed in the following section.

3. GIS and IoT Integration Use Cases

Nowadays, GIS and IoT-based systems are not only at developers’ center of attention but also at officials’ and organizations [26,27,28,29]. With the wide range of applications provided by these integrated systems [19,25], they are being used in many aspects including urban and rural developments.
Various related literature studied on the application of integrated GIS and IoT systems is discussed in this section. In addition, these studies were categorized into seven groups indicated in Figure 1.
As it is shown in Figure 1, Urban Infrastructure mostly including smart city-related studies has been the most frequent domain of applications [8,26,29,30]. Environmental Monitoring and Utilities shared the same frequency of 16% [28,31,32]. On the other hand, less attention was paid to the Healthcare industry in GIS and IoT integrated point of views [33]. These industry shares can be compared with the estimated market share of IoT applications by 2025 [1] in which Healthcare is projected to have the most economic influence. Therefore, it would be a great opportunity to focus on the Healthcare industry to use the great functionality of GIS simultaneously with IoT.
Some of the studies in each category are discussed in the following sub-sections.

3.1. Urban Infrastructure

Growth estimations of city populations from 3.6 to 6.3 billion by 2050 [34] can be a testimony to a great tendency toward urbanization [35,36]. As expected, modern societies are seeking indices and solutions to evaluate urban smartness [37,38] and to enhance citizens’ life quality [35,39,40]. The endeavor to improve life quality encompasses all aspects of a city such as healthcare [41], transportation [42,43]. IoT is considered as a catalyst in the process of transformation of cities into smart ones [44]. Reference [45] highlights the revolutionary solutions of IoT for infrastructure needs such as Industry 4.0, power and water grids, and smart cities. According to Reference [46], three main areas must be taken into consideration to be improved in order to develop IoT technologies in an efficient way. Those three main areas are sensor-oriented technologies, network services, and energy-related technologies.
Utilizing GIS holds some benefits in the phases of developing a new infrastructure namely planning, designing, construction, and operation [19,47,48]. The capability of handling both spatial and non-spatial data makes GIS a great tool for performing efficient management. In addition, marking the ability to provide digital representations of the Earth’s surface, Reference [49] suggests developing digital urban infrastructure. With the great functionalities provided by IoT and GIS mentioned above, the integration of these two technologies would result in more effective systems. Reference [44] investigates other technologies like GIS to be integrated with IoT to be used in different aspects of urban infrastructure.

3.2. Transportation

Transportation plays a critical role in enabling communication between people. It also provides other types of exchange such as trading and facilitates the movement of people and goods [50]. This category covers a wide range of applications including smart parking [42], public transportation [51], intelligent transportation systems [52]. With the rise in the number of vehicles, modern societies are paying more attention to transportation management [43,53,54] which faces the challenges of efficiency, safety, and sustainability [50]. The optimal managing of traffic not only reduces traffic congestion on peak hours but also can be beneficial for other services such as emergency ones. Therefore, some studies [55,56] are performed to enhance the quality of current related services. Transportation pertains inherently to location, flows, and interactions which GIS is good at dealing with them. The combination of GIS and Transportation called GIS-T [50,57] holds some benefits in facing the problems like transportation planning [58,59], design [60], maintenance [61], and decision-making [62,63]. In Reference [57], GIS-T is discussed in three stages namely the map view, the navigational view, and the behavioral view. The map view stage relates to inventory and description of transportation systems. The second stage, the navigational view, focuses on connectivity and planarity in addition to storing time-dependent attributes. Finally, dealing with transportation-related events as dynamic ones are proposed in the behavioral stage. In order to tackle the future challenges of transportation systems, the combination of WebGIS/cloud computing/big data is suggested in [50]. In addition, IoT by providing affordable sensors together with the proliferation of internet infrastructure can be helpful in GIS-T. Reference [64] proposes an IoT-based ITS constructed by three components namely the sensor system, monitoring system, and the display system. Reference [65] proposes a technique by correlating Global Positioning System (GPS) data and local GIS information to face the challenges of latency and limitations of bandwidth when transmitting the location of vehicles in Intelligent Transportation Systems. As GIS and IoT integration examples, in [66], using GIS, Radio-Frequency Identification (RFID), and cloud computing technologies, a parking navigation system is presented which facilitates finding parking lots for users near their destinations. After processing the gathered data which is converted into GIS-supported formats, users can be informed through their smart mobile devices whether there is an empty parking lot at the parking and if so, the system will display GIS images of empty parking lots and the navigation to them. An emergency management system is proposed in [67] in order to manage public road transport networks that use IoT as a means of observing traffics and road infrastructures. In this research, GIS is also exploited to enhance situational awareness and perform some emergency operations.

3.3. Disaster Management

The tendency of cities toward modernization especially those exploiting technologies results in a more crowded environment [68]. Urbanization leads to structures built on most of the empty lots which result in low-efficiency rescue plans [69]. Therefore, broadly speaking, disaster management can be considered as one of the main concerns of all societies. Generally, disaster management can be considered into three phases, namely; Preparedness, Response, and Recovery [70]. A beginning phase called mitigation is also mentioned in [71] for disaster management phases.
With the development of technologies, new strategies could be proposed to improve disaster management. Reference [71] explores the application of IoT and other technologies naming RFID, GPS, GIS, and Wireless Sensor Network (WSN) in disaster management approaches. In this research, studies are analyzed according to the technologies and tools they utilized and their studies supporting phase in disaster management.
According to Reference [71], RFID, a valuable technology, has been used in disaster management studies the most. In addition, GIS, being used nearly by 60%, can be considered almost as an inextricable part of disaster management where Reference [72] suggests exploiting GIS due to the advantages over conventional maps. It is also worth mentioning that the capability of GIS as a simulating tool is highlighted in [71] by analyzing studies utilizing GIS and WSN to predict flood damage [73,74].
Many studies have been done on different phases of disaster managing [70,75,76,77]. An early warning system which can be considered as a Preparedness phase is proposed by [78] to inform about the snowmelt flood. A section related to IoT, called Management Tools, is constructed in this study which includes an information mining sub-section dealing with spatial and sensor data mining. In turn, GIS functionalities are used to perform spatial analysis of those gathered data.
Particularly for phase Response, using GIS and IoT a system is proposed in [79] to improve evacuation efficiency through analyzing the impact of smoke on evacuation. In this study, in order to collect high-resolution information in real-time and analyze the performance, IoT is exploited. The functions in GIS are used to process the parameter information of the environment and guide people to exits whenever a fire occurs. Another response system is presented in [80] so as to face volcanic disasters. In this study, a damage prediction model based on spatial information is used to enhance the effectiveness of the system. They use GIS as a tool to display the simulation and related tables and charts. Reference [81] exploits IoT, GIS, and GPS respectively as collection, mapping, and location finding tools to study forest fire monitoring systems to enhance the accuracy and rapidness of locating the position of fire. Another fire-related study is performed in [69] which is the presentation of a fire rescue emergency plan by integrating technologies like IoT, GIS, Virtual reality, and indoor positioning. The combination of GIS and VR is used to provide an interface with ease-of-use capability and training courses for fire forces. A weather disasters monitoring system is accomplished in [82] for alerting about severe weather changes. Using ArcGIS tools, a model is provided to observe emergency scenarios according to the data collected by weather sensors. In the proposed system, by allocating a server for GIS, it is responsible for displaying the weather parameters data and visualizing vulnerable regions on a map.
According to what was discussed, there is a need to investigate the integration of GIS and IoT in studying disaster management phases particularly the Recovery phase.

3.4. Environmental Monitoring

The noticeable rate of increase in the urban population has caused many problems in urban areas [83]. In recent years many organizations established environmental quality management systems [84] that cover a wide range of issues including how to face natural disasters or how to decrease the pollution of air [85,86]. IoT can be beneficial in implementing environmental managing systems such as real-time monitoring by means of storing the data, transmission, and processing remotely. Reference [87] presents a system that monitors water quality by measuring five parameters like the turbidity and temperature of the water using IoT. The monitoring system proposed in this study diminished the time and costs in assessing water quality in reservoirs. In addition to IoT, GIS can play a significant role in monitoring systems as well [88,89,90]. As mentioned in [89] the ability of GIS to handle geometric, thematic, and temporal geospatial data makes it suitable for environmental data management. Therefore, the integration of GIS and IoT studies would provide more advantages at the same time in environmental monitoring systems. For example, an environmental quality management information system is designed by [32] exploiting GIS, GPS, IoT, and RFID. The proposed system benefit from the spatial data analysis capability of GIS which results in enhanced decision support for environmental quality management. Reference [31] studied the functionalities of environmental protection systems benefiting from GIS and IoT by proposing an intelligent system. Their main goal relates to the enhancement of management and decision-making level.
The prominent purpose of these studies can be considered as to provide a better future and healthy living for all people. An air quality monitoring system is proposed by [91] to observe the air quality through a web server using IoT gas sensors to collect information about toxic and harmful gases. GIS is also beneficial in their study and that is the capability to display the areas with air pollution information. Using GIS, Remote Sensing (RS), and IoT a water quality monitoring system is presented in [92]. They concluded that the use of GIS and RS can facilitate processes such as data collection and monitoring, site selection for a source of water, and quick identification of a site that is in need of attention.

3.5. Agriculture

Broadly speaking, agriculture can be considered as an inherently geospatial practice [93] which not surprisingly can be pertained to GIS subjects. According to Reference [93], GIS and spatial decision support hold some benefits in agriculture such as Enhancing the efficiency of food production systems [94,95,96], Managing pests and diseases [97,98,99,100], Minimizing soil erosion [101,102,103], Preserving biodiversity [104,105], and simulating the effects of climate change [94,106]. As mentioned in [107], due to a rise in migration to urban areas, agriculture is facing some difficulties. They propose smart agriculture techniques based on IoT which exploit WSN for measuring soil properties and environmental factors continuously. They control the data, gathered by various sensors planted in the farm, through remote devices or internet services. The role of sensors in agricultural applications is so essential so that in Papers [108,109], besides using humidity and temperature sensors, an image sensing node is also exploited to monitor the changes in crop fields by taking images. Combining GIS with other technologies such as IoT would be a great step toward improving current systems in the mentioned aspects in agriculture since utilizing just mere geospatial data and analysis will no longer perform well in some agricultural issues [110]. Using GIS, IoT, and socket programming, a Detection and Warning System of Rice Disease is proposed in [111] in which statistics such as air humidity, illumination, water temperature, etc. are gathered and finally the polluted regions are displayed on the map as warning massages which help the farmers with preventing the spread of a rice disease. A Precision Agriculture Management System (PAMS) is proposed by [27] based on IoT and WebGIS. WebGIS is used as a tool for providing basic spatial information, positioning, and a mobile calculation platform for the system. Monitoring farmlands remotely in real-time can be accessed using the functions provided by WebGIS to collect, process, and display the appropriate data. In their study, collecting agricultural production data is performed using IoT sensors. As the integration of GIS and IoT will result in an improvement in the production and economical section of agriculture, [112] presents a DC-driven tool which is a power switch to optimally control the appliances used in agriculture. To maximize production and gain more profit of land, GIS is used to obtain the localized satellite data and combine it with on-site IoT sensors.

3.6. Utilities

The application of smart utilities has gotten more attention in modern cities [113,114]. Smart utilities cover a wide range of applications such as Waste, Water, Lighting, and Logistic Management [25,115]. There is a tendency toward developing an intelligent utility system aiming at the delivery of city utilities to be efficient, reliable [113]. The integration of technologies such as IoT and GIS lead to making faster decisions in managing and controlling utility systems [115,116].
For Waste Management, GIS plays a significant role mostly in optimizing the municipal waste collection system [117,118], vehicle routing, and scheduling the systems [119,120,121]. GIS helps decision-makers in analyzing and simulating different spatial scenarios by providing an advanced modeling framework [117,122]. The proliferation of sensors and the capabilities of IoT in real-time managing and monitoring holds some benefit in the waste collection too [123]. Reference [124] proposes a dynamic routing algorithm by using the cost efficiency potential of IoT. Reference [123] marks that the traditional waste collection systems were treated in a static manner by classical tools and approaches. They propose a query-based dynamic scheduling model to deal with the challenges caused by data streams. As an example of GIS and IoT integration, Reference [125] introduces a waste bin monitoring system in which RFID and GIS are used respectively to collect data and as a visually monitoring platform. Reference [126] proposes a GIS-IoT-based garbage collector monitoring system to gather statistical data about the containers in different parts of the city.
For Lighting, two problems are faced by most researchers. First, lighting data does not satisfy the proper spatial resolution. Besides, collecting data by measurement campaigns is costly [127,128]. A networked lighting system would be advantageous in local optimizations of illumination due to the presence of sensors [129]. Integrating such systems with IoT will result in remote management [128]. In addition, smart lighting is introduced as one of the most relevant uses of IoT in smart cities by The IoT European Research Cluster (IERC) [18]. The research performed by [127] indicates a need for a more effective lighting infrastructure in urban areas not only to bring luminance but also to provide safety for citizens. Therefore, they proposed a local illuminance GIS mapping. GIS is used to store automatically the ID of the sensors, light measurement data, the timestamp of the measurement, and the GPS position. Besides a tool for storing data, GIS is responsible for processing and displaying the information through the map of the quality of streetlights which can also be interpreted by quantitative indexes which area suffers from a low-security level. Therefore, GIS as a mapping tool and IoT by the cost-efficiency potential can be beneficial in lighting issues of cities. Traditional lighting systems suffer from a lack of efficiency in monitoring and are costly in energy and price too [130]. In this research, a monitoring and control scheme by exploiting GIS and ZigBee is proposed to analyze the real-time operating parameters of lighting equipment in order to come up with a strategy to control the system. The use of GIS as a visualization tool, and the use of IoT as an energy-saving implementation were noticeable in their study.
For Water Management, digital maps and special tools in GIS can enhance the efficiency of sewerage networks [131]. ArcCatalog and ArcGIS can be used as network design and analysis tools [132]. The network, designed in ArcCatalog, holds benefits in designing and implementing sewerage systems [133,134], analyzing and monitoring such systems [135,136], and simulating like that of urban sewerage flow volume [137,138]. Reference [139] marks the significant role of monitoring and controlling systems in water supply and sewerage facilities. With the development of sensing in IoT, they emphasize the use of this technology to operate and maintain water supply and sewerage systems. As an example of GIS and IoT integration, Reference [140] examined the concentration and influence of toxic gases in the urban underground sewage pipe network by the data gathered by IoT. GIS is used as a tool for pipeline 3D visualization, real-time display of accident disposal, material distribution, and path visualization.

3.7. Healthcare

Health care refers to a system that involves the maintenance and enhancement of medical services. Therefore, a global struggle is happening to improve the quality of healthcare services [141,142,143]. Reference [144] highlights that GIS, taken together with non-spatial factors, is being used increasingly in healthcare. Discussing the role of GIS in healthcare, the examples of the use of GIS include those concerned with improving the quality of care [145], analyzing the spatial distribution of diseases [146,147,148], planning and assessing location-based services [149,150], enhancing the accessibility of services [151,152]. Section 1 of Reference [150] investigates the role of GIS in disease mapping and spatial analysis. They describe the basic elements of geographical analysis, cartographic operations relevant to public health, disease mapping from a statistical standpoint, and clustering methods. In addition, in Section 3, GIS applications in healthcare planning and policy are discussed. For the role of IoT, in Reference [153] two applications of IoT in medical systems namely Clinical Care and Remote Real-time Electrocardiogram (ECG) Monitoring are introduced. For example, in Clinical Care applications, Masimo Radical-7 can be used to monitor the physiological statuses of patients remotely and report it to a clinical staff [154]. IoT and healthcare studies also point out the implementation aspect. Reference [155] describes the implementation of an IoT-based In-hospital healthcare system using ZigBee mesh protocol to monitor the physiological parameters of patients. Reference [156] investigates technological solutions in order to facilitate clinical knowledge transfer and gathering using IoT. Sensors and actuators provided by IoT can be beneficial in evaluating the performance of medical equipment [157]. The condition of patients can also be monitored by tracking their medicine consumption through embedded sensors [154]. As discussed above, healthcare studies vary in topics and target area and the integration of IoT and GIS would provide valuable features. Reference [158] proposed a ubiquitous health system as remote monitoring of the patient system. Using smart-watches data like a heartbeat is measured and is analyzed by GIS according to the position of the patient. Finally, the information is sent to the patient-doctor via smartphones. As another scenario, a risk management system based on IoT, BIM, and GIS is proposed by [33] to monitor real-time risk factors and provide more effective responses. The processing layer of their system hosts GIS which provides the information related to hospitals located near the area they are monitoring with a set of computing and simulation tools.

4. Integrated IoT and GIS Architectures

In the previous section, the roles of GIS and IoT are discussed in different domains. In addition, the advantages of the integration of these two technologies are also mentioned. To investigate how GIS can be used in IoT-based systems in terms of architecture, first of all, IoT architecture and GIS components are defined. Then, studies utilizing GIS in IoT systems are analyzed in order to specify that in which layer GIS can be involved.

4.1. IoT Architecture and IoT Elements

Internet of Things has tremendously evolved in the last years and different architectures have been proposed by researchers [1,159,160]. There is a three-layer architecture developed in the early stages of these studies [1,161,162] which consists of the Perception layer, Network layer, and Application layer. A five-layer architecture is also used by [163,164,165]. Perception, Transport, Processing, Application, and Business layers are proposed in this type of architecture. This study considers a five-layer architecture for IoT which is shown in Figure 2.
The Perception layer consists of sensors for sensing and gathering information about the environment [159]. Depending on the purpose of the system, the type of sensors including RFID, IR sensors, or other network sensors and their collected data may differ. Providing identification and information storage like RFID tags, information collection like sensor networks, and information processing like embedded edge processors is the aim of using these hardware elements [165]. The collected data is passed to the Transport layer also known as the Network layer. This layer acts as the human nerves [166] and is responsible for connecting to the processing system to transmit the information gathered from sensor devices. A wide range of communication networks like wired or wireless ones, the Internet, etc. can be brought into the perception layer. 3G/4G, ZigBee, Wi-Fi, Bluetooth are some of the communication mediums used in this layer. According to the similarity of the Network layer to human nerves, the Processing layer can act as a brain [166]. This Layer is designed to store, analyze, and process the information received from the Perception layer through the Network layer. Direct access to a database to store the information is provided using technologies like cloud and fog computing. The application layer plays the role of an interface between the system and the user. Due to the processed data and the goal of the designed system, this layer is responsible for delivering the appropriate application to the user [165]. The application covers a wide range of cases. The Business layer is responsible for managing the whole IoT system activities by generating different business models [1] and is out of the scope of this study.
According to Reference [1], the elements of IoT are Identification, Sensing, Communication, Computing, Services, and Semantics. The first element deals with identifying objects uniquely to satisfy their demands. Sensing is responsible for collecting data using various sensors and transferring it to a database often in the cloud. The third element, Communication, consists of technologies that are capable of providing a heterogeneous connection between objects. Computing, comprising of devices and software, processes the gathered data. Services and Semantics deal with acquiring suitable knowledge to present appropriate services.

4.2. GIS Components and Elements

The integration of data, software, hardware, methods, and human—shown in Figure 3—can lead to a GI System [17,167,168]. In addition to being a source of valuable geospatial data, GIS can provide data storage and data management facilities [168]. Therefore, data can be considered as the most prominent component of a working GIS because of providing. Any kind of data is acceptable in GIS as long as geospatial data is involved in it. Software is a set of tools provided to store, analyze, and display data. A graphical user interface, a database management system, a set of tools like Toolbox in ArcMap are some key software components. Hardware refers to the device on which GIS can be used. Nowadays, different sets of devices with different configurations or topology in a network can play the role of hardware in GIS. Considering the need of the employer, and the existing facilities, the optimum method to design a GIS according to the employer’s expectation is needed. The last component of a working GIS which is human can be categorized into two groups. The ones who are responsible for the design and maintenance of a GIS can be called technicians.
The elements of GIS, namely data acquisition, data management, data query, vector data analysis, raster data analysis, and data display are discussed in [168]. These elements may not be sequential as though it is in IoT.

4.3. GIS and IoT Integration Architecture

The use of GIS in IoT systems can result in more dimensions and possibilities to IoT-related applications [25] since GIS is capable of dealing with spatial and attributive data gathered by sensors. After discussing what the components of GIS and architectures of IoT are, the integration of these two technologies can be studied through investigating how GIS can be used in IoT architectures. The articles reviewed in this section are shown in Table 1.
As illustrated in Table 1, GIS has found its way into IoT systems in the third and fourth layers of IoT architectures. The most noticeable presence of GIS––the column labeled Other––is its functionality of providing analysis techniques and tools in the processing layer. In the following sub-sections, more discussion of this categorization is provided.

4.3.1. GIS in Processing Layer

To be more specific, the involvement of GIS in IoT architecture in the processing layer is categorized into three types, namely data-related, visualization, and other GIS functionalities which are mostly analysis tools.

Data-Related

The engagement of geospatial information in IoT systems can result in an improved IoT application with more dimensions and possibilities [25]. Nowadays, there are so many geodatabases containing a wide range of information gathered for different purposes. The following articles used GIS as a source of information or as a tool for storing data in their designed IoT systems.
In Intelligent Transportation Systems, the location of vehicles is required to be transmitted to the cloud but some limitations like the ones caused by bandwidth are being emerged [65]. They proposed a method of compressing the GPS data before transmitting it to the cloud. As mentioned earlier, processes related to cloud computing are performed in the Processing layer. In the proposed algorithm, GIS provides the local information to help the algorithm with finding the correlation of GPS data of vehicles in a much more precise way. This help consists of providing the answer to the queries about the minimum distance between roads and waypoints.
Real-time detection of logistic geographical positions by RFIDs through the Internet of mobile phones in IoT is performed to achieve the aim of positioning in Logistic Geographical Information Detecting Unified Information Systems [178]. In their study, the geographical information database is used to represent the detailed address information by geocoding.
Reference [30] proposed two distributed IoT platforms improve energy management in smart cities. The purpose of DIMMER, their first proposed platform, is to make different devices capable of interoperating to share heterogeneous information about energy distribution systems, buildings, and apartments. In their work, GIS is used along with the Building Information Model (BIM) 3D parametric models and System Information Model (SIM) to find the correlation of energy-related information.
The general framework of the risk management system proposed by [33] discussed in Section 3.7 clearly indicates the presence of GIS in the processing layer.
Reference [170] presents a system based on IoT, web services, and GIS which is used to provide real-time Web Map Service (WMS). The system is capable of representing a web map of real-time outage status. The GIS server used in their study is responsible for providing and storing the required data in their web map and feature services.
Reference [29] collection and geovisualization of big data from multiple sources like IoT devices and satellites are discussed through a City Geospatial Dashboard. GIS provides a road network model in order to represent the hourly link population and flow directions.
As smart cities aspects becoming a great topic for researchers, GIS in [175] is used to provide the data input for the K-means clustering algorithm for optimizing a dynamic traffic network to analyze real-time traffic data.
The studies [27,127], discussed respectively in Section 3.5 and Section 3.6, also used GIS as a data source.

Visualization

GIS has the capability of merging all kinds of data which has a spatial component. This leads to enabling the user to create layers of information and visualize them [178].
The study performed by [179] focuses on providing a method to facilitate the GIS-based fusion information which resides in building models and the information gathered by sensors. In that paper, GIS is used to represent the information provided by multiple resources such as IoT sensors, building models, and virtual sensors. Therefore, GIS plays the role of an integration platform, as well as a visualization one for the integrated information.
As technology develops, more and more devices are being connected to the Internet and producing a huge amount of data [180,181]. The integration of GIS and IoT can result in mapping recourses on digital layers. Several types of visualization of the collected and analyzed data on the map can be performed using GIS including, (i) visualization of moving observation (map service), (ii) visualization of stationary observation (map service), (iii) visualization of discrete observation (map service), and (iv) visualization of observations (feature service) [25].
With the development of urban landscapes, managing different aspects of a smart city has become a challenge [37,38]. Reference [26] studies the use of real-time spatial analytics integrated with Information and Communication Technology (ICT) to face the challenges in smart cities. Nowadays many communities and organizations achieved cost savings and improvements in life quality by using the great functionalities of real-time GIS. Real-time GISs are used as a means of combining sensors from the environment and home to manage communities in an efficient and intelligent way by visual platform [171].
Based on IoT, GIS, and spatiotemporal analysis, Reference [140] examines the concentration and influence of toxic gases in the urban underground sewage pipe network of Chongqing City. Pipeline 3d visualization, real-time display of accident disposal, material distribution, and path visualization are some types of visualization provided in their study.
Reference [173] proposes an information management (IM) solution using hybrid storage architecture based on a Virtual Reality version of WebGIS. This IM is used in the data-storage management of Building Information Models (BIM).
A real-time monitoring plan of the pipeline covering gas, heat, and other types of underground pipelines in the campus is proposed by [174]. Besides real-time monitoring, locating the point of failure in the system is achieved through combining the monitoring data with geographic information.
As mentioned in the previous section, GIS in [170] is responsible for displaying a web map of real-time outage status. Besides, GIS helps with displaying the rice disease regions on a map in [111] discussed in Section 3.5.

Analysis (Other Functionalities of GIS)

Geography can be considered an indispensable part of IoT since all physical objects occupy a room in space or time. The same can be true for the produced data by sensors. The location, dimension, and orientation of these objects can lead to many spatial relationships between them [182]. With the great functionalities of GIS, analyzing these relationships can be helpful to address the challenges we are facing in IoT-based systems. These functionalities of GIS are discussed in [183] and are categorized into six different analytical methods of geospatial analysis namely, Geometric Measures, Data Mining, Basic Analytical Operations, Basic Analytical Methods, Network Analysis, Surface Analysis, and Geostatistics.
With the rapid tendency to move to urban areas [35] and an over-utilization of land and sea resources, the quality of water plays a prominent role in people’s appropriate areas for living. Using IoT, GIS and remote sensing technology, Reference [92] proposes a water quality monitoring system. GIS is used to divide the Pacific Island Countries into different regions which would be involved in identifying the specific location.
The Studies [78,79] mentioned in Section 3.3 use GIS functionalities to process their information.

4.3.2. GIS in Application Layer

GIS can provide its capabilities within the Web and mobile services which can be utilized in the Application layer of IoT architecture. With the development of web technologies, many services are provided for users without many locational restrictions [184]. Nowadays the capabilities of GIS including the visualization of spatial data and its processing tools can be accessible for users through web services [185]. Therefore, many organizations are inclined to use the Web version of GIS to simultaneously benefit from the advantages of Web technology and GIS [186]. In [29,111,173] Web GIS is used to provide the geovisualization of spatial data.
Mobile GIS is another solution to adopt GIS services in mobile devices [187]. This form of the GIS would help users to tackle the problems requiring real-time field mapping and positioning information [188]. Most of the functionalities of GIS discussed earlier could be brought up in Mobile GIS, therefore, users can take advantage of their portable GIS devices. The prominent components of a Mobile GIS are hardware, software, wireless communication, and GPS which also exist in IoT. The studies [27,31,170] use Mobile GIS in their proposed systems.

5. Discussion

The functionalities offered by IoT and GIS make it suitable for developing various systems in different domains. In Section 3, the role of GIS, IoT, and the integration of these two technologies in different applications are discussed. A summary of the survey is provided in Table 2.
As discussed in Section 4.3, the most significant presence of GIS in applications mentioned in Table 2 can be categorized into data, visualization, and analyzing tools. The capability of providing types of data, such as digital maps, makes GIS appropriate to be utilized in transportation, disaster management, and healthcare. Routing analysis and decision-making support are the noticeable roles of GIS in Transportation and Utilities. In applications that involve predictions and in which many scenarios could happen, GIS by providing framework models and simulating tools can be useful to analyze possible scenarios. That is the reason, GIS has shown great applications in disaster management, agriculture, and utilities.
The potentialities to collect data by various types of sensors and to monitor the system both in real-time are considered as main IoT advantages. Considering the real-time capabilities along with the functionalities offered by GIS make the idea of integrating these two technologies an efficient one. Monitoring and controlling in real-time will help decision-makers to take suitable measurements faster. Worth noticing, real-time visualization is an essential part of monitoring which can be accessed through the integration of GIS and IoT. Integration of GIS in IoT.
By analyzing Section 3 and Section 4.3, the connections between elements of IoT and GIS can be concluded as indicated in Figure 4.
As illustrated in Figure 4, sensing in IoT and acquisition and management of data in GIS can be pertained to each other. In other words, the sensing element can provide the data needed in GIS. Computation in IoT, which involves processing the data, can utilize the analysis offered by GIS to deal with geospatial and non-geospatial data. The potentialities of visualization–data display–offered by GIS can be helpful in services. The noticeable point of Figure 4 is that each element of GIS is somehow connected to IoT which indicates the various types of benefiting from GIS in IoT-based systems.

6. Conclusions

With the surging trend toward utilizing smart devices and the steep rise in manufacturing these devices, the appearance of a more modern society is unquestionable. IoT is responsible for making communication possible between devices and humans and GIS has the capability to deal with geospatial information. Therefore, the integration of IoT and GIS will lead to smarter and more efficient projects. This paper reviews IoT and GIS-related studies satisfying two goals namely: (1) examining the role of each technology solely and jointly by categorizing the studies into seven application domains, and (2) investigating how GIS is involved in IoT architecture. Considering the three main applications called data-source, visualization, and analysis tools, GIS can play a role in IoT-based systems. Additionally, the real-time data collection and monitoring along with the capability of GIS to deal with geospatial data and attributes makes it a suitable choice for addressing many challenges.
There are four main areas about which future research can study. The first can be thinking of a new target area to be dealt with utilizing IoT and GIS functionalities at the same time in an integrated system. The second area would be to focus on exploiting the whole potentialities provided by IoT and GIS to improve current systems to more efficient and reliable versions. Next, as mentioned at the beginning of Section 1.3, the integration and improvement of technologies and systems might lead to new challenges. Simply put, although the integration of IoT and GIS holds many benefits, it is required to study the challenges of these new integrated systems. On a final note, temporal data, representing a state in the time, was not carefully investigated by the authors. Hence, considering this type of data apart from or along with the real-time data in future studies is also suggested.

Author Contributions

Conceptualization, J.S.B. and A.S.-N.; methodology, J.S.B. and A.S.-N.; validation, J.S.B., A.S.-N. and S.-M.C.; formal analysis, J.S.B.; investigation, A.S.-N. and S.-M.C.; writing—original draft preparation, J.S.B.; writing—review and editing, A.S.-N. and S.-M.C.; visualization, J.S.B. and A.S.-N.; supervision, A.S.-N. and S.-M.C.; funding acquisition, S.-M.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the Ministry of Trade, Industry and Energy (MOTIE) and Korea Institute for Advancement of Technology (KIAT) through the International Cooperative R&D program (Project No. P0016038) and the Ministry of Science and ICT (MSIT), Korea, under the ITRC support program (IITP-2021-2016-0-00312) supervised by the IITP.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

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Applsci 11 10365 g001 550
Figure 1. Industry share of GIS and IoT integrated applications.
Figure 1. Industry share of GIS and IoT integrated applications.
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Figure 2. The architecture of IoT.
Figure 2. The architecture of IoT.
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Figure 3. GIS Components.
Figure 3. GIS Components.
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Figure 4. The connection between the elements of IoT and GIS.
Figure 4. The connection between the elements of IoT and GIS.
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Table
Table 1. A summary of GIS involvement in IoT architecture in each article.
Table 1. A summary of GIS involvement in IoT architecture in each article.
Processing LayerApplication Layer
ArticleData-RelatedVisualizationAnalysisMobile GISWeb GIS
[26] 🗸🗸
[27]🗸 🗸🗸
[28] 🗸
[29]🗸 🗸 🗸
[25] 🗸🗸
[30]🗸
[31] 🗸🗸
[33]🗸 🗸
[65]🗸
[78] 🗸
[79] 🗸
[82] 🗸
[92] 🗸
[111] 🗸 🗸
[112] 🗸
[127]🗸 🗸
[140] 🗸🗸
[169] 🗸
[170]🗸🗸🗸🗸
[171] 🗸
[172] 🗸
[173] 🗸 🗸
[174] 🗸🗸
[175]🗸
[176] 🗸
[177] 🗸🗸
[178]🗸
[179] 🗸
Table
Table 2. A summary of the role of GIS, IoT, and IoT-GIS in different domains.
Table 2. A summary of the role of GIS, IoT, and IoT-GIS in different domains.
ApplicationThe Role of GISThe Role of IoTAdvantages of IoT-GIS Integration
Urban Infrastructure
  • In phases of Planning, designing, constructing, and operating of development of an infrastructure
  • Sensing
  • providing network services
  • energy-related optimization
  • A catalyst and supplement in efficient managing systems
Transportation
  • Planning, design, maintenance, and decision-making
  • Map view, navigational view, and behavioral view
  • Sensor system
  • Monitoring systems
  • Visualization
  • Enhancement situational awareness
Disaster Management
  • Digital maps
  • Mapping
  • Simulation tool
  • (Real-time) information Collection
  • Enhancement of management system
Environmental Monitoring
  • Data management
  • Visualization
  • Data collection
  • Real-time monitoring
  • Enhancement of management and decision making
Agriculture
  • Minimizing soil erosion
  • Preserving biodiversity
  • Simulating the effects of climate change
  • Measuring agricultural factors
  • Image sensing for monitoring changes
  • Improving the defects of mere geospatial analysis
Utilities
  • Optimizing municipal system
  • Vehicle routing and scheduling
  • Help decision makers in analyzing and simulating different scenarios
  • Providing modelling framework
  • Mapping
  • Digital maps
  • Real-time managing and monitoring–remote management
  • Cost efficiency potential
  • Faster decision making in managing and controlling utility systems
Healthcare
  • Analyzing spatial distribution of diseases
  • Planning location-based services
  • Enhancing accessibility of services
  • Cartographic operations
  • Monitor physiological statuses of patients remotely
  • Evaluation of medical equipment
  • Visualization
  • Enhancement of monitoring systems
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MDPI and ACS Style

Safari Bazargani, J.; Sadeghi-Niaraki, A.; Choi, S.-M. A Survey of GIS and IoT Integration: Applications and Architecture. Appl. Sci. 2021, 11, 10365. https://doi.org/10.3390/app112110365

AMA Style

Safari Bazargani J, Sadeghi-Niaraki A, Choi S-M. A Survey of GIS and IoT Integration: Applications and Architecture. Applied Sciences. 2021; 11(21):10365. https://doi.org/10.3390/app112110365

Chicago/Turabian Style

Safari Bazargani, Jalal, Abolghasem Sadeghi-Niaraki, and Soo-Mi Choi. 2021. "A Survey of GIS and IoT Integration: Applications and Architecture" Applied Sciences 11, no. 21: 10365. https://doi.org/10.3390/app112110365

APA Style

Safari Bazargani, J., Sadeghi-Niaraki, A., & Choi, S.-M. (2021). A Survey of GIS and IoT Integration: Applications and Architecture. Applied Sciences, 11(21), 10365. https://doi.org/10.3390/app112110365

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