气候变化领域集成服务门户(CCPortal): A QGIS Plugin for GIS-based Multicriteria Decision Analysis: an Application of Developing Alternative Future Land-Use Scenarios in Ghana

CCPortal

DOI	10.1007/s12061-024-09566-x
	A QGIS Plugin for GIS-based Multicriteria Decision Analysis: an Application of Developing Alternative Future Land-Use Scenarios in Ghana
	Chen, Changjie; Guo, Ziyi; Judge, Jasmeet
发表日期	2024
ISSN	1874-463X
EISSN	1874-4621
起始页码	17
结束页码	2
卷号	17 期号:2
英文摘要	In many West African countries, ongoing rapid urbanization urges reliable and proactive land use plans for sustainability purposes, which hinges on a complete assessment of land suitability. GIS-based multi-criteria decision analysis (GIS-MCDA) is one of the most widely applied techniques in land-use suitability analysis. It is pivotal that planners and analysts in the developing world have adequate support in conducting such analysis. To lower the financial and technological barriers, a new free and open-source software (FOSS) for GIS-MCDA is developed, called PyLUSATQ. It is designed as a QGIS plugin following a tight-coupling integration strategy, where analytic tools for GIS-based suitability analysis and MCDA are interconnected and seamlessly integrated into QGIS's processing framework. With this implementation, users can create customized models with the PyLUSATQ tools using QGIS's Graphical Modeler to automate the workflow for suitability analysis. PyLUSATQ is the first of its kind amongst all plugins published on the QGIS Python Plugin Repository, offering a range of tools for GIS-MCDA within the context of land use planning. To demonstrate its practical application, we created two 2050 future land-use scenarios in the Ashanti Region of Ghana. The first scenario depicts a business-as-usual model, whereas the second shows an alternative scenario if a higher development density was adopted. Comparisons of such scenarios provide evidential support for making informed decisions on land-use policies. Additionally, the methodology introduced here is easily replicable for developing new QGIS plugins based on third-party Python libraries.
英文关键词	Land use suitability; Scenario planning; GIS; Multicriteria decision analysis; QGIS; Ghana
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geography ; Public Administration
WOS类目	Environmental Studies ; Geography ; Regional & Urban Planning
WOS记录号	WOS:001153167700001
来源期刊	APPLIED SPATIAL ANALYSIS AND POLICY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/300934
作者单位	State University System of Florida; University of Florida; State University System of Florida; University of Florida; State University System of Florida; University of Florida
推荐引用方式 GB/T 7714	Chen, Changjie,Guo, Ziyi,Judge, Jasmeet. A QGIS Plugin for GIS-based Multicriteria Decision Analysis: an Application of Developing Alternative Future Land-Use Scenarios in Ghana[J],2024,17(2).
APA	Chen, Changjie,Guo, Ziyi,&Judge, Jasmeet.(2024).A QGIS Plugin for GIS-based Multicriteria Decision Analysis: an Application of Developing Alternative Future Land-Use Scenarios in Ghana.APPLIED SPATIAL ANALYSIS AND POLICY,17(2).
MLA	Chen, Changjie,et al."A QGIS Plugin for GIS-based Multicriteria Decision Analysis: an Application of Developing Alternative Future Land-Use Scenarios in Ghana".APPLIED SPATIAL ANALYSIS AND POLICY 17.2(2024).