Policy and Place: A Spatial Data Science Framework for Research and Decision-Making

Policy and Place: A Spatial Data Science Framework for Research and Decision-Making

abstract: A major challenge in health-related policy and program evaluation research is attributing underlying causal relationships where complicated processes may exist in natural or quasi-experimental settings. Spatial interaction and heterogeneity between units at individual or group levels can v...

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Bibliographic Details
Other Authors: Kolak, Marynia Aniela (Author)
Format: Doctoral Thesis
Language:English
Published: 2017
Subjects:
Geography
Statistics
Computer science
Counterfactual Framework
Data Science
Public Health
Quasi-Experimental Research Design
Spatial Data Infrastructure
Spatial Effects
Online Access:http://hdl.handle.net/2286/R.I.45557

Internet

http://hdl.handle.net/2286/R.I.45557

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