Extract remote sensing metrics for spatial health analysis 🛰️, integrating vector-borne disease data. Easily compute areal and zonal statistics for infectious disease modelling in spatial epidemiology 🦠🏥

geography geohealth harmonize health-geography innovalab rgee rspatial spatial-epidemiology zonal-statistics
7 Open Issues Need Help Last updated: Sep 15, 2026

Open Issues Need Help

View All on GitHub

Extract remote sensing metrics for spatial health analysis 🛰️, integrating vector-borne disease data. Easily compute areal and zonal statistics for infectious disease modelling in spatial epidemiology 🦠🏥

R
#geography#geohealth#harmonize#health-geography#innovalab#rgee#rspatial#spatial-epidemiology#zonal-statistics
help wanted release v.1.0

Extract remote sensing metrics for spatial health analysis 🛰️, integrating vector-borne disease data. Easily compute areal and zonal statistics for infectious disease modelling in spatial epidemiology 🦠🏥

R
#geography#geohealth#harmonize#health-geography#innovalab#rgee#rspatial#spatial-epidemiology#zonal-statistics
Proposal about 1 year ago
help wanted question release v.0.1.0

Extract remote sensing metrics for spatial health analysis 🛰️, integrating vector-borne disease data. Easily compute areal and zonal statistics for infectious disease modelling in spatial epidemiology 🦠🏥

R
#geography#geohealth#harmonize#health-geography#innovalab#rgee#rspatial#spatial-epidemiology#zonal-statistics
Proposed vignette about 1 year ago

AI Summary: Improve the existing vignette for the 'land4health' R package, which calculates and extracts remote sensing metrics for spatial health analysis. This involves enhancing the documentation to better explain the package's functionality and provide clearer examples. Recommendations for improvement are welcome.

Complexity: 3/5
documentation enhancement help wanted release v.0.1.0

Extract remote sensing metrics for spatial health analysis 🛰️, integrating vector-borne disease data. Easily compute areal and zonal statistics for infectious disease modelling in spatial epidemiology 🦠🏥

R
#geography#geohealth#harmonize#health-geography#innovalab#rgee#rspatial#spatial-epidemiology#zonal-statistics
documentation enhancement good first issue release v.0.1.0

Extract remote sensing metrics for spatial health analysis 🛰️, integrating vector-borne disease data. Easily compute areal and zonal statistics for infectious disease modelling in spatial epidemiology 🦠🏥

R
#geography#geohealth#harmonize#health-geography#innovalab#rgee#rspatial#spatial-epidemiology#zonal-statistics
documentation good first issue question

Extract remote sensing metrics for spatial health analysis 🛰️, integrating vector-borne disease data. Easily compute areal and zonal statistics for infectious disease modelling in spatial epidemiology 🦠🏥

R
#geography#geohealth#harmonize#health-geography#innovalab#rgee#rspatial#spatial-epidemiology#zonal-statistics

AI Summary: Review the `check_representativity` function within the `land4health` R package for potential errors. The function is used for spatial health analysis, integrating remote sensing metrics and vector-borne disease data. The review should ensure accuracy and reliability of the function's output.

Complexity: 4/5
bug documentation enhancement good first issue help wanted question release v.0.1.0

Extract remote sensing metrics for spatial health analysis 🛰️, integrating vector-borne disease data. Easily compute areal and zonal statistics for infectious disease modelling in spatial epidemiology 🦠🏥

R
#geography#geohealth#harmonize#health-geography#innovalab#rgee#rspatial#spatial-epidemiology#zonal-statistics