Using OpenStreetMap Data and Machine Learning to Generate Socio-Economic Indicators

Using OpenStreetMap Data and Machine Learning to Generate Socio-Economic Indicators

Socio-economic indicators are key to understanding societal challenges. They disassemble complex phenomena to gain insights and deepen understanding. Specific subsets of indicators have been developed to describe sustainability, human development, vulnerability, risk, resilience and climate change a...

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Bibliographic Details
Main Authors: Daniel Feldmeyer, Claude Meisch, Holger Sauter, Joern Birkmann
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:ISPRS International Journal of Geo-Information
Subjects:
indicators
machine learning
OpenStreetMap
vulnerability
resilience
climate change adaptation
Online Access:https://www.mdpi.com/2220-9964/9/9/498

Internet

https://www.mdpi.com/2220-9964/9/9/498

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