Название: Computational Methods and GIS Applications in Social Science, 3rd Edition
Автор: Fahui Wang, Lingbo Liu
Издательство: CRC Press
Год: 2024
Страниц: 440
Язык: английский
Формат: pdf (true)
Размер: 41.6 MB

This textbook integrates GIS, spatial analysis, and computational methods for solving real-world problems in various policy-relevant social science applications. Thoroughly updated, the third edition showcases the best practices of computational spatial social science and includes numerous case studies with step-by-step instructions in ArcGIS Pro and open-source platform KNIME. Readers sharpen their GIS skills by applying GIS techniques in detecting crime hotspots, measuring accessibility of primary care physicians, forecasting the impact of hospital closures on local community, or siting the best locations for business.

Google launched the Google Maps API, a jаvascript API, to allow customization of online maps in 2005. The Google Maps API enables one to estimate the travel time without reloading the web page or displaying portions of the map. An earlier version of the Python program was developed to use the Google Maps API for computing an OD travel time matrix. An improved version GoogleODTravelTimePro.py by Wang and Wang, available under the subfolder Scripts, is used here to illustrate its usage. The program reads the origin (O) and destination (D) layers of point or polygon features in a projected coordinate system and automatically calculates the latitudes and longitudes of all features by their point locations or geographic centroids of the polygons. The data are fed into a tool in Python that automates the process of estimating the travel time and distance matrix between a set of origins and a set of destinations at a time by calling the Google Maps Distance Matrix API.

Features:

Fully updated using the latest version of ArcGIS Pro and open-source platform KNIME
Features two brand-new chapters on agent-based modeling and big data analytics
Provides newly automated tools for regionalization, functional region delineation, accessibility measures, planning for maximum equality in accessibility, and agent-based crime simulation
Includes many compelling examples and real-world case studies related to social science, urban planning, and public policy
Provides a website for downloading data and programs for implementing all case studies included in the book and the KNIME lab manual

Intended for students taking upper-level undergraduate and graduate-level courses in quantitative geography, spatial analysis, and GIS applications, as well as researchers and professionals in fields such as geography, city and regional planning, crime analysis, public health, and public administration.