Location Models
38
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
Land-Use by Block
8
Boundary Harmonization
Spatial Analysis
9
The Spatial
Graph
10
Spatial Autocorrelation
11
Space-Time Event Clustering
Accessibility and Exposure
12
Travel Isochrones
13
Service Areas for Social Facilities
14
Accessibility
15
More Access Measures
Urban Spatial Structure
16
Location and Land Use
17
Concentration and Agglomeration
18
Employment Centers
Segregation
19
Segregation Measures
20
Segregation Dynamics
21
The Dimensions of Residential Segregation
22
Single and Comparative Inference
Factor Ecology and Ecometrics
23
Latent Variable Models
24
Factorial Ecology
25
Ecometrics and CFA
Geodemographics and Regionalization
26
Social Areas & Discrete Categories
27
Geodemographic Clustering
28
Geodemographic Regionalization
Spatial Dynamics
29
Spatial Dynamics in Math Achievement
30
A Stochastic Model of Land Use Change
31
Neighborhood Dynamics
Spatial Econometrics
32
Applied Spatial Econometrics
33
The Hedonic Housing Price Model
34
Graphical Spatial Models
35
Spatial Hedonics in Python
Location Models
36
Location Models
37
Location Choice
38
Spatial Optimization
References
Appendices
A
Influences and Acknowledgements
Code Links
Open in Codespaces
Launch Binder
Location Models
38
Spatial Optimization
38
Spatial Optimization
Code
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Code
import
pandas
import
geopandas
import
spopt
Open in GitHub Codespaces
:::
37
Location Choice
References
