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Neighborhood features in geospatial machine learning: the case of population disaggregation
- Source :
- Cartography and Geographic Information Science. 47:79-94
- Publication Year :
- 2019
- Publisher :
- Informa UK Limited, 2019.
-
Abstract
- High-resolution population density data are crucial for advanced geographical analysis but are difficult to obtain owing to personal data protection. This paper presents a method to obtain these da...
- Subjects :
- education.field_of_study
Geospatial analysis
Computer science
business.industry
05 social sciences
Geography, Planning and Development
Population
0211 other engineering and technologies
0507 social and economic geography
02 engineering and technology
computer.software_genre
Machine learning
Population density
Random forest
Management of Technology and Innovation
Spatial disaggregation
Data Protection Act 1998
Artificial intelligence
education
business
050703 geography
computer
021101 geological & geomatics engineering
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 15450465 and 15230406
- Volume :
- 47
- Database :
- OpenAIRE
- Journal :
- Cartography and Geographic Information Science
- Accession number :
- edsair.doi...........70dfbd363ac9c507c5b072c7ceae40b6
- Full Text :
- https://doi.org/10.1080/15230406.2019.1618201