Open Issues Need Help
View All on GitHubExtract remote sensing metrics for spatial health analysis 🛰️, integrating vector-borne disease data. Easily compute areal and zonal statistics for infectious disease modeling in spatial epidemiology 🦠🏥
AI Summary: The task is to integrate the `land4health` R package with Zenodo to enable automatic DOI generation and referencing for the project's releases. This involves researching Zenodo's API or using existing R packages that interact with Zenodo, and then modifying the `land4health` workflow to upload releases and obtain DOIs.
Extract remote sensing metrics for spatial health analysis 🛰️, integrating vector-borne disease data. Easily compute areal and zonal statistics for infectious disease modeling in spatial epidemiology 🦠🏥
AI Summary: Enable Codecov for test coverage reporting on a public GitHub repository for the `land4health` R package. This involves resolving a token-related error encountered when uploading coverage results, potentially requiring the creation of a Codecov token and adding it to GitHub secrets or using a non-protected branch.
Extract remote sensing metrics for spatial health analysis 🛰️, integrating vector-borne disease data. Easily compute areal and zonal statistics for infectious disease modeling in spatial epidemiology 🦠🏥
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.
Extract remote sensing metrics for spatial health analysis 🛰️, integrating vector-borne disease data. Easily compute areal and zonal statistics for infectious disease modeling in spatial epidemiology 🦠🏥
Extract remote sensing metrics for spatial health analysis 🛰️, integrating vector-borne disease data. Easily compute areal and zonal statistics for infectious disease modeling in spatial epidemiology 🦠🏥
Extract remote sensing metrics for spatial health analysis 🛰️, integrating vector-borne disease data. Easily compute areal and zonal statistics for infectious disease modeling in spatial epidemiology 🦠🏥
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.
Extract remote sensing metrics for spatial health analysis 🛰️, integrating vector-borne disease data. Easily compute areal and zonal statistics for infectious disease modeling in spatial epidemiology 🦠🏥