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Original Article
Using remote sensing data to derive built-form indexes to analyze the geography of residential burglary and street thefts
Ioannis Ioannidisa Department of Urban Planning and Environment, KTH Royal Institute of Technology, Stockholm, SwedenCorrespondence[email protected]
https://orcid.org/0000-0002-0529-4824View further author information
https://orcid.org/0000-0002-0529-4824View further author information, Robert P. Hainingb Department of Geography, University of Cambridge, UKhttps://orcid.org/0000-0003-3462-7218View further author information
https://orcid.org/0000-0003-3462-7218View further author information, Vania Ceccatoa Department of Urban Planning and Environment, KTH Royal Institute of Technology, Stockholm, Swedenhttps://orcid.org/0000-0001-5302-1698View further author information
https://orcid.org/0000-0001-5302-1698View further author information & Andrea Nascettia Department of Urban Planning and Environment, KTH Royal Institute of Technology, Stockholm, Swedenhttps://orcid.org/0000-0001-9692-8636View further author information
https://orcid.org/0000-0001-9692-8636View further author information