Nowosad / global_population_and_gdpLinks
Global dataset of gridded population and GDP (1980-2010 estimations and 2020-2100 scenarios)
☆20Updated 6 years ago
Alternatives and similar repositories for global_population_and_gdp
Users that are interested in global_population_and_gdp are comparing it to the libraries listed below
Sorting:
- Ressources for the session on machine learning and remote sensing at the OpenGeoHub Summer school in Münster 2019☆27Updated 6 years ago
- A collection of 250+ examples for using Google Earth Engine in R☆31Updated 5 years ago
- Random Forest-informed Population Disaggregation R package☆33Updated last year
- Tutorial on processing climate (netcdf) data with R and CDO/NCO☆37Updated 10 years ago
- OpenGeoHub Summer School: Mastering Machine Learning - Lecture and Training☆11Updated 5 years ago
- Material for the course on machine-learning based environmental monitoring at geostat 2018☆38Updated 7 years ago
- https://r-earthengine.com/rgeebook/☆18Updated 3 years ago
- An R Interface to the Daymet Web Services☆32Updated 6 months ago
- Open source book: Spatial sampling with R☆75Updated 2 years ago
- LandsatTS is an R package to facilitate retrieval, cleaning, cross-calibration, and phenological modeling of Landsat time-series data.☆30Updated 11 months ago
- R&Py Spatial Analysis Workshop, 5 September 2019: European Colloquium on Theoretical and Quantitative Geography☆33Updated 6 years ago
- Exploring RGEE.☆23Updated 3 years ago
- Tool for Quantitative Analysis and Visualization of Land Use and Land Cover Change.☆29Updated last year
- Jupyter notebooks to illustrate spatial regression functionality☆26Updated 7 months ago
- R Package to access the Data Service Platform for Sentinel-2 Surface Reflectance and Value-Added Products☆34Updated 5 months ago
- Simplify the acquisition of remote sensing data☆55Updated 5 years ago
- ☆17Updated 5 years ago
- land use change modelling in R☆43Updated 5 years ago
- R scripts for processing CMIP5 data☆32Updated 7 years ago
- Online tutorial on how to use Ensemble Machine Learning for spatial and spatiotemporal interpolation / predictions☆22Updated 2 years ago
- Raster time series visualization☆21Updated last year
- Presentations for the OpenGeoHub Summer School 2019: https://opengeohub.org/summer_school_2019☆20Updated last year
- Links and slides from GEOSTAT2018☆37Updated 7 years ago
- code and model output for global mangrove soil carbon project☆20Updated 6 years ago
- Complete-coverage gridded predictions of soil properties (percent organic carbon, total nitrogen, bulk density, pH, and percent sand and …☆36Updated 7 years ago
- Examples of different Spatial Interpolation approaches in R☆19Updated 3 years ago
- R client package for working with openEO backends☆67Updated 2 months ago
- Making public access of public data a bit easier☆26Updated 2 months ago
- Ressources for the session on machine learning and remote sensing at the OpenGeoHub Summer school in Wageningen 2020☆15Updated 5 years ago
- Extension for rgee☆46Updated last year