Multi-temporal function-based dasymetric interpolation tool for mobile phone data

dc.contributor.affiliationDepartment of Geosciences and Geography, University of Helsinki - Järv, Olle
dc.contributor.affiliationDepartment of Geosciences and Geography, University of Helsinki - Tenkanen, Henrikki
dc.contributor.affiliationDepartment of Geosciences and Geography, University of Helsinki - Toivonen, Tuuli
dc.contributor.authorJärv, Olle
dc.contributor.authorTenkanen, Henrikki
dc.contributor.authorToivonen, Tuuli
dc.date.accessioned2025-03-24T15:15:03Z
dc.date.issued2017-01-19
dc.date.issued2017-01-19
dc.descriptionThis release provides a Python implementation of "Multi-temporal function-based dasymetric (MFD) interpolation method for mobile phone data" that is represented in an article: Järv, Tenkanen & Toivonen (2017). Enhancing spatial accuracy of mobile phone data using multi-temporal dasymetric interpolation. Submitted to International Journal of Geographical Information Science". This release demonstrates in practice how MFD interpolation method can be used to interpolate mobile phone data distributed in spatially varying coverage areas of mobile phone base stations into a desired layout of predefined spatial units using ancillary data sources.
dc.identifierhttps://doi.org/10.5281/zenodo.252612
dc.identifier.urihttps://hydatakatalogi-test-24.it.helsinki.fi/handle/123456789/9501
dc.rightsOpen
dc.rights.licensecc-by-sa-4.0
dc.subjectmobile phone data
dc.subjectcall detail records
dc.subjectspatial interpolation
dc.subjectdasymetric modelling
dc.subjectspatio-temporal
dc.subjectfunction-based
dc.subjectPython
dc.titleMulti-temporal function-based dasymetric interpolation tool for mobile phone data
dc.typesoftware
dc.typesoftware