Data Analysis For Planning
Data Analysis for Planning is a systematic methodological process within urban and regional planning that integrates quantitative and qualitative analytical techniques to interpret spatial, demographic, economic, and environmental data, thereby informing evidence-based decision-making in the formulation and evaluation of comprehensive plans.
90
Publications
3.3K
Citations
236
Authors
129
Institutions
Publications per year
2017–2026
41
90
1–5 of 90
236
3
h-index
2
h-index
2
h-index
Swiss Federal Institute for Forest, Snow and Landscape Research, Switzerland
2 publications · 45 citations
2
h-index
2
h-index
1–5 of 236
129

University of Hong Kong
Pok Fu Lam, Hong Kong
3 h-index
4 publications
72 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
8 publications
131 citations

San Diego State University
San Diego, United States
2 h-index
2 publications
59 citations
Virginia Tech
Blacksburg, United States
2 h-index
2 publications
46 citations
Swiss Federal Institute for Forest, Snow and Landscape Research
Birmensdorf, Switzerland
2 h-index
3 publications
77 citations
University of Wales
Cardiff, United Kingdom
2 h-index
2 publications
88 citations
University College London
London, United Kingdom
2 h-index
6 publications
698 citations
University of Akron
Akron, United States
2 h-index
2 publications
39 citations
1–8 of 129
JAPA · 6 publications · 137 citations
6
h-index
JPER · 6 publications · 215 citations
6
h-index
5 publications · 141 citations
5
h-index
3 publications · 63 citations
3
h-index
4 publications · 59 citations
3
h-index
1–5