Spatial Data and Technology Applications

Dear Colleagues,

Spatial science and technology are pivotal for detailed analysis, enabling a comprehensive understanding of how geographic and environmental factors influence various outcomes. By utilizing Geographic Information Systems (GISs), remote sensing (RS), and other spatial data technologies, professionals can identify and visualize disparities across different regions, track trends, and assess environmental exposures such as pollution and access to amenities. This spatially driven approach supports targeted interventions, efficient resource allocation, and informed decision-making, ensuring equitable distribution and effective addressing of specific needs within communities. Moreover, spatial science and technology enhance community engagement by presenting complex data in an accessible visual format and empowering residents to participate in decision-making processes. Spatial data are becoming increasingly critical for understanding and addressing challenges across various sectors, and spatial technology provides effective approaches to promoting informed planning and equitable resource distribution.

This Special Issue aims to compile cutting-edge research and innovative applications of spatial data and technology in understanding, monitoring, and managing a wide array of issues. We invite high-quality, original research articles, reviews, case studies, and technical notes on topics including, but not limited to, the following:

• Epidemiological Studies: employing spatial data and technology for tracking and analyzing patterns and trends.
• Environmental Health: assessing the impact of urban environmental factors (e.g., air and water quality, noise pollution, etc.) on public health using spatial data and technology.
• Healthcare Accessibility: spatial analysis of healthcare infrastructure, service accessibility, and optimization of healthcare delivery in urban or rural areas.
• Urban Planning and Health: integrating spatial health data into urban planning to promote healthy living environments.
• Chronic Disease Management: using spatial data and technology to monitor and manage chronic diseases such as diabetes, asthma, cardiovascular illnesses, and mental conditions.
• Emergency Preparedness and Response: spatial modeling and analysis for preparedness and response in emergency and disaster scenarios.
• Big Data and Machine Learning: application of big data analytics and machine learning techniques to spatial analysis.

Prof. Dr. Dongmei Chen
Prof. Dr. Yongmei Lu
Prof. Dr. Lu Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• spatial analysis
• geographic information systems
• decision-making
• urban planning
• healthcare
• epidemiology