Papers: 10.1371/journal.pone.0211350

https://doi.org/10.1371/journal.pone.0211350

Correlated impulses: Using Facebook interests to improve predictions of crime rates in urban areas

Cited by: 8
Author(s): Masoomali Fatehkia, Dan O’Brien, Ingmar Weber
Published: over 7 years ago

Software Mentions 8

cran: rgdal
Bindings for the 'Geospatial' Data Abstraction Library
Papers that mentioned: 328
Very Likely Science (75)
cran: rgeos
Interface to Geometry Engine - Open Source ('GEOS')
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cran: sp
Classes and Methods for Spatial Data
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cran: tmap
Thematic Maps
Papers that mentioned: 88
Very Likely Science (95)
pypi: Facebook
Papers that mentioned: 3,274
Unlikely Science (0)
pypi: factanal
A python wrapper for the R function factanal.
Papers that mentioned: 5
Very Likely Science (65)
pypi: sp
Quickly find out which directories / files are hogging your disk space.
Papers that mentioned: 258
Very Likely Science (65)
pypi: tmap
A topological data analysis framework implementing the TDA Mapper algorithm for population-scale microbiome data analysis
Papers that mentioned: 88
Very Likely Science (100)