Location Models
35
Spatial Optimization
Urban Analysis & Spatial Science
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Introduction
Spatial Data
1
Data Sets
2
Geoprocessing
3
Geovisualization
4
Pedestrian and Bike Collisions in California
Interpolation and Change of Support
5
Areal Interpolation
6
Dasymetric Interpolation
7
Boundary Harmonization
Spatial Analysis
8
The Spatial
Graph
9
Spatial Autocorrelation
10
Space-Time Event Clustering
Accessibility and Exposure
11
Travel Isochrones
12
Accessibility
Urban Spatial Structure
14
Location and Land Use
15
Concentration and Agglomeration
16
Employment Centers
Segregation
17
Segregation Measures
18
Space and Scale
19
Single and Comparative Inference
Factor Ecology and Ecometrics
20
Latent Variable Models
21
Urban Factor Ecology
Geodemographics and Regionalization
23
Social Areas & Discrete Categories
24
Geodemographic Clustering
25
Geodemographic Regionalization
Neighborhood Change
26
Spatial Dynamics in Math Achievement
27
A Stochastic Model of Land Use Change
28
Neighborhood Dynamics
Spatial Econometrics
29
Applied Spatial Econometrics
30
The Hedonic Housing Price Model
31
Graphical Spatial Models
32
Spatial Hedonics in Python
Location Models
33
Location Models
34
Location Choice
35
Spatial Optimization
References
Appendices
A
Influences and Acknowledgements
Code Links
Open in Codespaces
Launch Binder
Location Models
35
Spatial Optimization
35
Spatial Optimization
Code
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Code
import
pandas
import
geopandas
import
spopt
34
Location Choice
References