Computer Science
Case Study
75%
Disaggregation
66%
Gradient Boosting
66%
Demographic Group
66%
Demographic Characteristic
50%
Future Population
41%
Routing Service
33%
Population Projection
33%
Regression Tree
33%
Deep Learning Model
33%
Real Estate
33%
Spatial Pattern
33%
Temporal Change
33%
Visual Analysis
33%
Migration Pattern
33%
Temporal Variation
33%
Statistical Procedure
33%
Machine Learning
16%
Open Source Tool
16%
Migration Data
16%
Convolutional Neural Network
16%
Population Change
16%
Machine Learning Technique
16%
routing path
16%
Analytical Approach
16%
Purchasing Power
16%
Complex Structure
16%
Spatial Distribution
16%
Data Normalization
16%
Data Characteristic
16%
Aggregated Data
16%
Dynamic Process
16%
Census Data
8%
Visual Inspection
8%
Spatial Variation
8%
Spatial Resolution
8%
Social Sciences
Case Study
100%
Denmark
83%
Statistical Tool
66%
Urban Planning
50%
Cultural Heritage
33%
Population Projection
33%
Human Geography
33%
Cost Reduction
33%
Population Increase
33%
Population Density
33%
Poland
33%
Sociodemographics
33%
Purchasing Power
33%
Artificial Intelligence
33%
Statistical Procedure
33%
Decision Making
33%
Asia
25%
Spatial Planning
20%
Population Dynamics
16%
Cost Benefit Analysis
16%
Decision Maker
16%
Narrative
16%
East Asia
16%
Global Warming
16%
Ships
16%
Learning Method
16%
Population Distribution
16%
Urban Growth
16%
Urban Population
16%
Industrial Sector
13%
Ukraine
8%
Co-Creation
6%
European Commission
6%
Public Authority
6%
Planning Practice
6%
Keyphrases
Boosted Regression Trees
33%
Spatial Disaggregation
33%
Unconventional Methods
33%
Spatial Error
33%
Boosting Learning
33%
Variable Importance Measure
33%
Northern Sea Route
33%
Urban Demography
33%
Commercial Shipping
33%
Random Forest Variable Importance
33%
Compositional Data
33%
Gridded Population Data
33%
3D Routing
33%
Arctic Shipping
20%
Indoor Routing
16%
Spatial Maps
16%
Gridded Population
16%
Disaggregation Algorithm
11%
Human Population Distribution
11%
Simultaneous Prediction
11%
Neighbourhood Attributes
11%
Housing Attributes
11%
Residential Distribution
11%
Data Plotting
11%
Geospatial Artificial Intelligence
11%
Heritage Community
11%
Compositional Variability
11%
Closed Data
11%
Spurious Correlation
8%
Data Normalization
8%
Correlation Prediction
8%
Population Geography
8%
Administrative Zones
8%
Diaspora Effects
8%
Real Estate Prices
8%
Topographic Variables
8%
New Immigrant Destinations
6%
Sea Ice Thickness
6%
European Ports
6%
Arctic Risk
6%
Arctic Transportation
6%
Risk Paths
6%
Arctic Sea Ice
6%
Least Cost Path Analysis
6%
