Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.8
3.9
Journals
Sustainability
Special Issues
Sustainable Development of Geographic Information Systems and Infrastructures
sustainability-logo
Submit to Sustainability Review for Sustainability Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Sustainable Development of Geographic Information Systems and Infrastructures

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainability in Geographic Science".

Deadline for manuscript submissions: closed (1 October 2023) | Viewed by 1116

Special Issue Editors

Prof. Dr. Hanfa Xing

E-Mail Website
Guest Editor
Beidou Research Institute, Faculty of Engineering, South China Normal University, Foshan 528225, China
Interests: geospatial big data; urban landscape; land cover/use
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Xianglei Liu

E-Mail Website
Guest Editor
Key Laboratory for Urban Geomatics of National Administration of Surveying, Mapping and Geoinformation, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
Interests: geospatial big data; dynamic monitoring; high-speed videogrammetry
Special Issues, Collections and Topics in MDPI journals
Dr. Yan Shi

E-Mail Website
Guest Editor
Department of Geo-Informatics, Central South University, Changsha 410083, China
Interests: spatio-temporal data mining; spatio-temporal outlier detection
Special Issues, Collections and Topics in MDPI journals
Dr. Zhangzhi Tan

E-Mail Website
Guest Editor
Beidou Research Institute, Faculty of Engineering, South China Normal University, Foshan 528225, China
Interests: urban simulation; landuse and transportation interaction; geospatial big data

Special Issue Information

Dear Colleagues,

Geographic Information Systems and Infrastructures are designed to acquire, process, store, distribute, and improve utilization of geospatial data, and have been widely applied in a number of fields, such as earth science, business, public health and transportation. Recently, with the rapid development of the big data and artificial intelligence, the spatio-temporal categories, information content, and application scenarios of Geographic Information Systems and Infrastructures have expanded unprecedentedly. Therefore, to ensure the sustainable development of Geographic Information Systems and Infrastructures, research into new technologies, exploration of theories and the expansion of application domains of Geographic Information Systems and Infrastructures deserve further deliberation.

In this Special Issue, we seek to present the most recent findings and research on Geographic Information Systems and Infrastructures to promote their sustainable development. We invite the submission of papers focusing on exploring new theories, technologies and applications of Geographic Information Systems and Infrastructures, including but not limited to:

  • Big geographic data-oriented data store, process, analysis, and visualization methods;
  • Geospatial artificial intelligence (GeoAI);
  • Geo-knowledge graph;
  • Processing and application of unmanned aerial vehicle (UAV) image and LiDAR point clouds;
  • Applications in different scenarios (e.g., land cover verification, urban function zone, urban planning, human mobility, and environment assessment).

We look forward to receiving your contributions.

Prof. Dr. Hanfa Xing
Prof. Dr. Xianglei Liu
Dr. Yan Shi
Dr. Zhangzhi Tan
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. Sustainability 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.

Keywords

  • geographic information systems
  • geographic information infrastructures
  • geospatial dynamics
  • sustainable development
  • geographic models
  • geospatial big data

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

19 pages, 2340 KiB  
Article
Analysis of Spatiotemporal Evolution Patterns and Driving Forces of Reservoirs on the Northern Slope of the Tianshan Mountains in Xinjiang
by Yinglin Sun, Bing Liu, Guang Yang, Yongjun Du, Hejiaolong Huang, Ting Wang and Jun Wang
Sustainability 2023, 15(11), 8824; https://doi.org/10.3390/su15118824 - 30 May 2023
Cited by 1 | Viewed by 873
Abstract
Revealing the temporal and spatial evolution pattern of reservoirs and their driving mechanisms is of great significance for promoting the coordinated development of the national economy and natural ecology. In this study, the northern slope of the Tianshan Mountains (NSTM) in Xinjiang was [...] Read more.
Revealing the temporal and spatial evolution pattern of reservoirs and their driving mechanisms is of great significance for promoting the coordinated development of the national economy and natural ecology. In this study, the northern slope of the Tianshan Mountains (NSTM) in Xinjiang was selected as the study area. Based on remote sensing data from 1990 to 2020, the temporal and spatial evolution characteristics of reservoirs on the NSTM in the past 30 years were analyzed using the grid cells method and the nuclear density analysis method, and the mechanisms by which natural geographical conditions and socio-economic development influence the temporal and spatial evolution of reservoirs in the NSTM were analyzed using GeoDetector. The results indicate the following: (1) In terms of temporal change, the area of reservoirs in the NSTM showed an overall expansion trend from 1990 to 2020, with a growth rate of 42.77%, and the number of reservoirs increased from 123 to 238 during the same period, with a growth rate of 93.50%. (2) In terms of spatial change, the distribution of reservoir accumulation areas on the NSTM gradually developed horizontally from the middle section with rapid economic development to the western and eastern sections. (3) The GeoDetector results showed that the main driving factors affecting the spatial differentiation of reservoir area in the NSTM from 1990 to 2020 were the average elevation (0.201), cultivated land area (0.112), and GDP (0.070), while the main driving factors combinations were the average elevation and cultivated land area (0.374), the average elevation and GDP (0.325), and the average elevation and average population (0.319). The research results can provide a theoretical basis and a decision-making reference for water conservancy project planning and water resources management in the NSTM. Full article
(This article belongs to the Special Issue Sustainable Development of Geographic Information Systems and Infrastructures)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop