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Papers: 10.1186/s12942-021-00262-4

https://doi.org/10.1186/s12942-021-00262-4

Estimating the local spatio‐temporal distribution of malaria from routine health information systems in areas of low health care access and reporting

Cited by: 8
Author(s): Elizabeth Hyde, Matthew H. Bonds, Felana Angella Ihantamalala, Ann C. Miller, Laura Cordier, Bénédicte Razafinjato, Herinjaka Andriambolamanana, Marius Randriamanambintsoa, Michèle Barry, Jean Claude Andrianirinarison, Mauricette Andriamananjara, Andrés Garchitorena
Published: over 5 years ago

Software Mentions 11

cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
Very Likely Science (100)
cran: gstat
Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation
Papers that mentioned: 138
Very Likely Science (100)
cran: lme4
Linear Mixed-Effects Models using 'Eigen' and S4
Papers that mentioned: 9,267
Very Likely Science (100)
cran: OpenStreetMap
Access to Open Street Map Raster Images
Papers that mentioned: 1,001
Very Likely Science (100)
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')
Papers that mentioned: 144
Very Likely Science (75)
cran: rsatscan
Tools, Classes, and Methods for Interfacing with 'SaTScan' Stand-Alone Software
Papers that mentioned: 10
Very Likely Science (75)
cran: sp
Classes and Methods for Spatial Data
Papers that mentioned: 258
Very Likely Science (95)
cran: spdep
Spatial Dependence: Weighting Schemes, Statistics
Papers that mentioned: 233
Very Likely Science (100)
cran: tidyr
Tidy Messy Data
Papers that mentioned: 321
Very Likely Science (100)
pypi: sp
Quickly find out which directories / files are hogging your disk space.
Papers that mentioned: 258
Very Likely Science (65)