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Geospatial Technologies in Spatial and Environmental Planning

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".

Deadline for manuscript submissions: closed (20 June 2024) | Viewed by 4903

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Guest Editor
Department of Geography, Geology and the Environment, Kingston University, Penrhyn Road, Kingston upon Thames KT1 2EE, UK
Interests: walkability; urban design; population movement; big data; geo-enabled data
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Geospatial technologies originated as a new way of collecting, storing, managing, analysing and visualising data and information about the Earth around 60 years ago. Environmental management and planning were one of the first fields in which geospatial technologies were developed and applied. They remain at the forefront of continuing technological evolution and adaptation as new environmental planning challenges present themselves.

The core tools embedded in geospatial technologies have now been harnessed and packaged in different ways to support environmental planners and managers. The increasing range of geospatial data sources combining information about land and water, as well as the inhabitants and users of these spaces, continues to challenge our understanding of how to plan environments that constitute a civilised, sustainable background for humans and other forms of life.

This Special Issue invites submissions that highlight the broad range of spatial and temporal scales and environments in which geospatial technologies are offering new insights and tools for environmental planning and management, including, but not limited to:

  • Monitoring land use and land cover changes;
  • Smart cities and urban infrastructure;
  • Visualising environmental futures;
  • Protected landscapes;
  • Public engagement and participation;
  • Transport and movement.

Prof. Dr. Nigel Walford
Guest Editor

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Published Papers (3 papers)

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Research

24 pages, 6777 KiB  
Article
The Geographic Automata Tool: A New General-Purpose Geosimulation Extension for ArcGIS Pro
by Alysha van Duynhoven and Suzana Dragićević
Appl. Sci. 2024, 14(15), 6530; https://doi.org/10.3390/app14156530 - 26 Jul 2024
Cited by 1 | Viewed by 882
Abstract
The theoretical paradigm of geographic automata systems (GAS) underpins a wide range of studies to represent dynamic complex geospatial phenomena. Specifically, cellular automata (CA) were used extensively over the past 40 years for geospatial applications, though primarily for modeling urban growth. Currently, the [...] Read more.
The theoretical paradigm of geographic automata systems (GAS) underpins a wide range of studies to represent dynamic complex geospatial phenomena. Specifically, cellular automata (CA) were used extensively over the past 40 years for geospatial applications, though primarily for modeling urban growth. Currently, the hyper-specialized and fragmented geospatial technology ecosystem supporting CA model implementation often necessitates programmed solutions or use of disconnected programs with graphical user interfaces (GUIs) separate from common geographic information systems (GIS) software. Therefore, the main goal of this study is to present a general-purpose, GIS-based CA modeling framework and extension for Esri’s ArcGIS Pro software environment. The methodological approach centered around (1) developing generic functions for building binary or multi-class CA models to capture various spatiotemporal systems and (2) enabling end-to-end CA modeling projects that can incorporate built-in functionality available in ArcGIS Pro versions 3.1 and newer. Two case studies demonstrate the add-in capabilities to support geosimulation model-building activities and exploration of new hybrid models. This research contributes to advancing flexible, transparent spatiotemporal modeling tools within existing GIS software. The proposed approach addresses the lack of streamlined geospatial technologies capable of simulating numerous dynamic geospatial phenomena, exploring human and environmental processes, and examining possible futures with CA in research, decision making, or educational settings. Full article
(This article belongs to the Special Issue Geospatial Technologies in Spatial and Environmental Planning)
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16 pages, 8467 KiB  
Article
The Evaluation of the Temperature Reduction Effects of Cool Roofs and Cool Pavements as Urban Heatwave Mitigation Strategies
by Sunmin Lee, Young-Il Cho, Moung-Jin Lee and Young-Shin Lim
Appl. Sci. 2023, 13(20), 11451; https://doi.org/10.3390/app132011451 - 19 Oct 2023
Cited by 3 | Viewed by 2008
Abstract
Various types of damage, including health risks, caused by abnormal climate conditions have gradually increased in recent years, particularly in cities with a high degree of complexity. In particular, it is important to address heatwave damage risk from both technical and policy perspectives [...] Read more.
Various types of damage, including health risks, caused by abnormal climate conditions have gradually increased in recent years, particularly in cities with a high degree of complexity. In particular, it is important to address heatwave damage risk from both technical and policy perspectives because it poses risks to older adults and/or disadvantaged individuals. This study was performed to assess the quantitative effects of two heatwave mitigation measures, cool roofs and cool pavements, in the Jangyumugye district of Gimhae, Republic of Korea. Thermal imaging cameras were used to measure surface temperatures after the installation of these measures; after the installation of cool roofs, indoor temperatures were also measured using temperature measurement data loggers. Then, a survey was conducted to obtain feedback from users of the associated facilities. From August to October 2019, surface temperatures were significantly reduced following the installation of cool roofs and cool pavements. Cool roofs constructed using slabs and panels provided average temperature reductions of 15.5 °C and 11.6 °C, respectively. Cool pavements showed a temperature reduction of ≥4 °C in both parking lot and alley sites. More than 30% of users noticed a reduction in temperature as a result of heatwave measure installation. These results may be used by the city to make informed policy decisions regarding the implementation of heatwave mitigation measures. Full article
(This article belongs to the Special Issue Geospatial Technologies in Spatial and Environmental Planning)
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23 pages, 4444 KiB  
Article
Comparative Analysis of Urban Heat Island Cooling Strategies According to Spatial and Temporal Conditions Using Unmanned Aerial Vehicles(UAV) Observation
by Young-Il Cho, Donghyeon Yoon and Moung-Jin Lee
Appl. Sci. 2023, 13(18), 10052; https://doi.org/10.3390/app131810052 - 6 Sep 2023
Cited by 2 | Viewed by 1544
Abstract
Heat island cooling strategies (HICSs) are used to mitigate urban heat island phenomena and adapt to climate change as proposed by the U.S. Environmental Protection Agency (EPA), the Intergovernmental Panel on Climate Change (IPCC), and the World Health Organization (WHO). This study investigated [...] Read more.
Heat island cooling strategies (HICSs) are used to mitigate urban heat island phenomena and adapt to climate change as proposed by the U.S. Environmental Protection Agency (EPA), the Intergovernmental Panel on Climate Change (IPCC), and the World Health Organization (WHO). This study investigated urban heat island reduction and assessed the cooling effect of HICSs under various temporal and spatial conditions in urban areas. The study area was the Mugye-dong urban area in South Korea. To identify the effectiveness of heat island cooling strategies (HICSs), unmanned aerial vehicle (UAV)-based remote sensing and microclimate sensors were used to generate land cover, sky view factor (SVF) distribution, and land surface temperature (LST) maps of the study area. Differences in cooling effect according to spatial density (SD) were identified by dividing the SVF into five intervals of 0.2. Temporal changes were investigated throughout the day and under cloudiness-based meteorological conditions affected by solar radiation or less affected by solar radiation. Lower SD was associated with a greater cooling effect; meteorological conditions affected by solar radiation had a stronger cooling effect. The variation of the daytime cooling effect increased with decreasing SD. The difference in cooling effect between morning and afternoon was <1 °C under conditions less affected by solar radiation. Under conditions affected by solar radiation, the maximum temperatures were −6.716 °C in urban green spaces and −4.292 °C in shadow zones, whereas the maximum temperature was −6.814 °C in ground-based albedo modification zones; thus, differences were greater under conditions affected by solar radiation than under conditions less affected by solar radiation. As a result, it was found that HICS show a high cooling effect, high diurnal variation, and high morning-afternoon deviation under weather conditions with low SD and under conditions affected by solar radiation. This study quantitatively calculated the cooling effect of HICSs applied in urban areas under various spatiotemporal conditions and compared differences by technology. Accordingly, it is believed that it will serve as a basis for supporting the practical effects of the concepts presented by international organizations for climate change adaptation. Full article
(This article belongs to the Special Issue Geospatial Technologies in Spatial and Environmental Planning)
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