PyLUSAT: An open-source Python toolkit for GIS-based land use suitability analysis

Desktop software applications, such as ArcGIS and QGIS, provide GIS tools for conducting suitability analysis, a fundamental step in formulating a land-use plan. When building complex suitability models with these applications, there are several limitations, including operating system (OS) dependenc...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Environmental modelling & software : with environment data news Jg. 151; S. 105362
Hauptverfasser: Chen, Changjie, Judge, Jasmeet, Hulse, David
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Elsevier Ltd 01.05.2022
Elsevier Science Ltd
Schlagworte:
Accuracy
Applications programs
Automation
Complexity
Computer applications
computer software
extensibility
Geographic information systems
Geospatial analysis
GIS
Land use
Land use planning
Open-source software
Python
Suitability modeling
Toolkits
Workflow
GIS
Suitability modeling
Open-source software
Geospatial analysis
Land use planning
Python
ISSN:1364-8152, 1873-6726
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Desktop software applications, such as ArcGIS and QGIS, provide GIS tools for conducting suitability analysis, a fundamental step in formulating a land-use plan. When building complex suitability models with these applications, there are several limitations, including operating system (OS) dependency, lack of dedicated modules, less efficient model building process, and difficult, if not impossible, deployment on a computing cluster. In attempting to address the challenges, this paper introduces PyLUSAT: Python for Land Use Suitability Analysis Tools, an open-source package dedicated to fulfilling tasks in a suitability modeling workflow. PyLUSAT tools were evaluated against comparable tools in ArcMap 10.4 with respect to accuracy and computational efficiency. Results showed that PyLUSAT tools were two to ten times faster depending on the job's complexity while generating outputs with equivalent spatial accuracy. Besides, PyLUSAT features cross-platform compatibility and high extensibility, allowing leveraging parallel computing in land-use suitability modeling, and permitting automation and customization. •PyLUSAT is an open-source Python package dedicated to land-use suitability analysis.•An alternative solution for urban planners to conduct GIS-based suitability modeling.•Enabling rapid, massive simulation of future land-use scenarios in high-performance computing clusters.•PyLUSAT functions are computationally efficient, highly extensible, and cross-platform compatible.•It has been successfully implemented on HiPerGator, a supercomputer at the University of Florida.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:1364-8152
1873-6726
DOI:10.1016/j.envsoft.2022.105362