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Spatiotemporal Data Analytics and Modeling of Land Systems: Shaping Sustainable...
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Spatiotemporal Data Analytics and Modeling of Land Systems: Shaping Sustainable Landscape

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Innovations – Data and Machine Learning".

Deadline for manuscript submissions: 28 October 2024 | Viewed by 3965

Special Issue Editors

Dr. Wenwu Tang

E-Mail Website
Guest Editor
Department of Geography, University of North Carolina at Charlotte, Charlotte, NC 28223-0001, USA
Interests: geographic information science; spatial cyberinfrastructure; agent-based modeling; land use and land cover change; complex adaptive spatial systems
Special Issues, Collections and Topics in MDPI journals
Dr. Jianxin Yang

E-Mail Website
Guest Editor
Department of Land Resource Management, School of Public Administration, China University of Geosciences, Wuhan 430074, China
Interests: spatial analysis; environment; environmental impact assessment; land use planning; natural resource management; mapping; spatial statistics; sustainability; geoinformation; geographical analysis
Special Issues, Collections and Topics in MDPI journals
Dr. Minrui Zheng

E-Mail Website
Guest Editor
School of Public Administration and Policy, Renmin University of China, Beijing 100872, China
Interests: big data for spatial governance; GIScience; spatial analysis and modeling; machine learning
Special Issues, Collections and Topics in MDPI journals
Dr. Jingye Li

E-Mail Website
Guest Editor
Land Resource Management, School of Public Administration, Hohai University, No. 8 West Focheng Road, Jiangning, Nanjing, China
Interests: land use change; land use planning; spatial analysis; remote sensing and GIS; ecosystem services; landscape ecology

Special Issue Information

Dear Colleagues,

We are pleased to introduce our forthcoming special issue of the Land journal, entitled "Spatiotemporal Data Analytics and Modeling of Land Systems: Shaping Sustainable Landscape". This special issue aims to explore complex dynamics of land systems (urban, rural or coupled) and their sustainability through the lens of spatiotemporal data analytics and modeling. We invite contributions that delve into the multifaceted aspects of land use, land cover, spatio-temporal analysis of landscape patterns and land resources management, emphasizing the critical role of spatiotemporal data analytics and modeling methods as well as geocomputing capabilities from advanced cyberinfrastructure, artificial intelligence, and high-performance or cloud computing.

The goal of this Special Issue is to collect papers (original research articles and review papers) to give insights into spatiotemporal analysis and modeling in face of a number of challenges when applied to the study of land systems, including, but not limited by, handling large datasets, problems with data quality, spatiotemporal scale and complexity, and the necessity for specific computing methods represented by cyberinfrastructure and artificial intelligence technologies. Geography, urban studies, landscape ecology, environmental science, sustainability science, archaeology and anthropology, and earth science are just a few examples of the research fields that spatial-temporal data analytics and modeling are applied. We encourage researchers to examine the intricate interplay of natural and human factors shaping landscapes, with a particular focus on fostering sustainability, resilience, and adaptive management within spatiotemporal context. Submissions may encompass a wide range of topics, including land change dynamics, spatial modeling (including simulation, optimization, and statistics), remote sensing (including close range, e.g., using unmanned vehicles), geospatial and cyberinfrastructure technologies, artificial intelligence, digital twins, and policy interventions that contribute to our understanding of land system for sustainable and resilient landscape. By bringing together cutting-edge research, this special issue aspires to provide insights and strategies for better-informed decision-making, ultimately fostering the sustainable development and management of our precious landscapes.

This Special Issue welcomes manuscripts that link the following themes:

  • Land change dynamics;
  • Spatio-temporal analysis of landscape pattern;
  • Spatial simulation, spatial optimization, and spatial statistics;
  • Shaping sustainable landscapes;
  • Land development;
  • Land resources management;
  • Geocomputing and cyberinfrastructure technologies;
  • Modern artificial intelligence applications in the study of land systems;

We look forward to receiving your original research articles and reviews. You may choose our Joint Special Issue in Land.

Dr. Wenwu Tang
Dr. Jianxin Yang
Dr. Minrui Zheng
Dr. Jingye Li
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. Land is an international peer-reviewed open access monthly 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 2600 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

  • spatiotemporal modeling
  • spatial-temporal landscape patterns and processes
  • landscape sustainability and resilience
  • geospatial technologies
  • land use/land cover
  • land change modeling
  • landscape assessment methods
  • landscape dynamic evolution

Published Papers (4 papers)

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Research

21 pages, 5755 KiB  
Article
Spatial and Temporal Changes in Ecological Resilience in the Shanxi–Shaanxi–Inner Mongolia Energy Zone with Multi-Scenario Simulation
by Xinmeng Cai, Yongyong Song, Dongqian Xue, Beibei Ma, Xianfeng Liu and Liwei Zhang
Land 2024, 13(4), 425; https://doi.org/10.3390/land13040425 - 27 Mar 2024
Viewed by 540
Abstract
The energy-driven expansion of artificial surfaces has resulted in severe ecological problems. Scientific evaluation of regional ecological resilience under different scenarios is crucial for promoting ecological restoration. This study chose the Shanxi–Shaanxi–Inner Mongolia Energy Zone (SEZ) and modeled an ecological resilience evaluation based [...] Read more.
The energy-driven expansion of artificial surfaces has resulted in severe ecological problems. Scientific evaluation of regional ecological resilience under different scenarios is crucial for promoting ecological restoration. This study chose the Shanxi–Shaanxi–Inner Mongolia Energy Zone (SEZ) and modeled an ecological resilience evaluation based on resistance, adaptability, and recovery. Land-use change and ecological resilience from 1980 to 2020 were then analyzed. Moreover, the SEZ land-use patterns and ecological resilience in 2030 were simulated under business as usual (BAU), energy and mineral development (EMD), and ecological conservation and restoration (ECR) scenarios. The results showed that (1) the SEZ was dominated by cultivated land, grassland, and unused land. (2) Ecological resilience showed a changing trend of decreasing and then increasing, with high ecological resilience areas mainly located in the Yellow River Basin, whereas low ecological resilience areas spread outward from the central urban areas. (3) The ecological resilience level was the lowest under the EMD scenario and the highest under the ECR scenario. This study not only expands the analysis framework of ecological resilience research but also provides scientific support for ecological conservation in ecologically fragile areas with intensive human activity worldwide. Full article
(This article belongs to the Special Issue Spatiotemporal Data Analytics and Modeling of Land Systems: Shaping Sustainable Landscape)
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23 pages, 23364 KiB  
Article
Exploring Integrative Development of Urban Agglomeration from the Perspective of Urban Symbiosis and Production–Living–Ecological Function
by Sijia Lin, Chun Li, Yanbo Li and Liding Chen
Land 2024, 13(2), 258; https://doi.org/10.3390/land13020258 - 19 Feb 2024
Viewed by 680
Abstract
Integrative development is an effective way to enhance urban potential and implement resource-optimal relocation, especially in urban agglomeration regions. Conventionally, the evaluation of urban integration is usually studied from one aspect of urban interaction intensity or urban functional similarity, but considering both together [...] Read more.
Integrative development is an effective way to enhance urban potential and implement resource-optimal relocation, especially in urban agglomeration regions. Conventionally, the evaluation of urban integration is usually studied from one aspect of urban interaction intensity or urban functional similarity, but considering both together can better reflect the integrative condition of urban agglomeration. This paper introduces the symbiosis theory into the exploration of urban integration. The production–living–ecological function is taken to analyze urban function, and the improved radiation model is adopted to measure urban interaction. Under the framework of symbiosis theory, we integrate urban function and urban interaction to indicate the integrative condition of urban agglomeration from a production–living–ecological aspect. Urban agglomeration in the Central Yunnan Urban Agglomeration is taken as the study area. The results show that (1) spatial variations occur in high-value areas with distinct functions. The east emphasizes production and living, while the west leans towards ecology. (2) Urban agglomeration is in its early developmental stages without stable symbiosis. Interactions among counties mostly show sporadic point symbiosis, lacking stability. It mainly radiates outward from the central area, with more stable interactions in high-value areas, often causing inter-city competition. (3) Urban agglomeration integration is generally low, with distinct high-value production and ecological areas. The central, eastern, and southern regions exhibit strong production and living interactions, while the west benefits from ecological interactions. These findings can offer some insights for informing relevant policies and fostering the integrated development of urban agglomerations. Full article
(This article belongs to the Special Issue Spatiotemporal Data Analytics and Modeling of Land Systems: Shaping Sustainable Landscape)
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19 pages, 8414 KiB  
Article
Spatiotemporal Analysis of the Impacts of Land Use Change on Ecosystem Service Value: A Case from Guiyang, China
by Qinglan Li, Liu Yang, Hongzan Jiao and Qing He
Land 2024, 13(2), 211; https://doi.org/10.3390/land13020211 - 08 Feb 2024
Viewed by 792
Abstract
The significance of ecosystem services and land use for human well-being and sustainable development cannot be understated. Scientifically assessing the ecosystem service value (ESV) and studying the relationship between land use change and the ESV can provide a theoretical groundwork for land use [...] Read more.
The significance of ecosystem services and land use for human well-being and sustainable development cannot be understated. Scientifically assessing the ecosystem service value (ESV) and studying the relationship between land use change and the ESV can provide a theoretical groundwork for land use planning and ecological administration in Guiyang. In this study, gradient analysis was utilized to explore the changes of ESV at district level of Guiyang. Then, the synergistic relationship and the strength of the interaction between land use intensity (LUI) and ESV were explored by using a coupled coordination model and spatial autocorrelation analysis. Furthermore, polynomial fitting was carried out for the LUI index and its linked coordination index in relation to the ESV. The results showed that (1) the areas of farmland, forest, grassland, and unused land in Guiyang decreased from 2000 to 2020, while the areas of construction land and water body increased conversely. (2) The expansion of the construction land and water body was the main cause of the ESV change pattern in Guiyang, which first moved downward and then upward. (3) The ESV and LUI had a low overall coupling coordination degree (CCD). Spatial autocorrelation studies showed that low–to–low aggregation and high–to–high aggregation dominated the spatial patterns of essential regions. (4) The LUI and CCD indexes exhibited an inverted U-shaped curve correlation. Full article
(This article belongs to the Special Issue Spatiotemporal Data Analytics and Modeling of Land Systems: Shaping Sustainable Landscape)
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15 pages, 11349 KiB  
Article
Spatial Optimization and Temporal Changes in the Ecological Network: A Case Study of Wanning City, China
by Shisi Zou, Rong Fan and Jian Gong
Land 2024, 13(1), 122; https://doi.org/10.3390/land13010122 - 22 Jan 2024
Viewed by 762
Abstract
Ecological networks serve as vital tools for safeguarding biodiversity and ensuring regional ecological stability. This study, conducted in Wanning City, employs minimum-area threshold analysis to pinpoint crucial ecological sources while extracting potential ecological corridors using the minimum cumulative resistance model. Our investigation delves [...] Read more.
Ecological networks serve as vital tools for safeguarding biodiversity and ensuring regional ecological stability. This study, conducted in Wanning City, employs minimum-area threshold analysis to pinpoint crucial ecological sources while extracting potential ecological corridors using the minimum cumulative resistance model. Our investigation delves into the ecological network’s elements and structural transformations within Wanning City, spanning the period from 2000 to 2020, and assesses the priorities for ecological network preservation. The findings of our research reveal noteworthy spatial disparities in the distribution of ecological sources across Wanning City. Furthermore, the ecological corridors display sparse patterns in the north and denser patterns in the south. Over the two decades from 2000 to 2020, Wanning’s ecological resources exhibited a discernible trend of contraction and fragmentation, accompanied by an uneven spatial distribution. The average path length of the ecological corridors has increased, indicative of reduced biological flow efficiency. Correspondingly, the structural accessibility of the ecological network has decreased, signifying a decline in landscape connectivity. Based on our analysis, we propose an ecological protection and restoration framework denoted as “One Belt, Four Sources, Eight districts, multiple corridors, and multiple points”. Therefore, with the Shangxi–Jianling, Liulianling, Nanlin, and Jiexin nature reserves as the core area, and Houan Town, Damao Town, Changfeng Town, and Liji Town as the key restoration areas, we have proposed an ecological protection and restoration pattern. Full article
(This article belongs to the Special Issue Spatiotemporal Data Analytics and Modeling of Land Systems: Shaping Sustainable Landscape)
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