milos-agathon / crisp-topographical-map-with-r
In this repo, I'll show you how to programatically access satellite imagery from several APIs to create such a map of Italy. We will use a single interface to query the data without even downloading raster data to your local drive 😲. For a tutorial please visit https://milospopovic.net/crisp-topography-map-with-r/
☆18Updated 2 years ago
Alternatives and similar repositories for crisp-topographical-map-with-r:
Users that are interested in crisp-topographical-map-with-r are comparing it to the libraries listed below
- Tutorial on parallel processing of raster data in the {stars} package☆11Updated last year
- A package for linking R with the open-source SAGA-GIS☆33Updated 7 months ago
- A book on elegant and informative maps with the tmap package☆33Updated 3 months ago
- Create tidyverse methods for dealing with GEE image and imageCollections.☆48Updated 2 years ago
- Whitebox Workflows for R☆31Updated 3 months ago
- This repository contains Mastodon accounts of #rspatial developers and contributors 👩💻 👨💻, as well as some of their communities 📣 …☆38Updated last year
- R package for landscape stratification, sampling, and modeling of environmental phenomena using spatial data in R.☆16Updated 2 years ago
- In this repo, we are going to explore the amazing power of the R-ArcGIS connection. You will discover how to use R to access the vast Arc…☆12Updated last year
- a discussion repository: raise issues, or contribute!☆52Updated 4 years ago
- Welcome to this tutorial where you'll learn how to map deforestation using Global Forest Change data (2001-2023) from GLAD. In this repo,…☆11Updated 5 months ago
- Spatial Statistics with R course materials☆18Updated 5 months ago
- R Bindings to GDAL (Geospatial Data Abstraction Library)☆42Updated this week
- Exploring RGEE.☆23Updated 3 years ago
- OpenGeoHub Summer School: Mastering Machine Learning - Lecture and Training☆11Updated 5 years ago
- LandsatTS is an R package to facilitate retrieval, cleaning, cross-calibration, and phenological modeling of Landsat time-series data.☆29Updated 6 months ago
- Rmarkdown tutorial on how to generate spatial sampling and how to use resampling methods for ML☆13Updated last year
- Miscellaneous Functions for Working with 'stars' Rasters☆25Updated last year
- ☆21Updated 7 months ago
- ☆17Updated 5 months ago
- Fast, accurate zonal statistics for "big" categorical and continuous data☆30Updated 5 months ago
- Code for Retrieving STAC Information, addressing Repeated Spatial Infelicities and interfacing with Rsome Spectral Indices☆49Updated last month
- Open source book: Spatial sampling with R☆74Updated last year
- Let's make a pretty map of European rivers using the Global River Classification dataset 🧑🏼💻 Check the full tutorial at https://milo…☆15Updated last year
- Examples of different Spatial Interpolation approaches in R☆18Updated 3 years ago
- Collection of tips for faster spatial data processing in R☆51Updated 6 months ago
- The goal of supercells is to utilize the concept of superpixels to a variety of spatial data.☆69Updated 8 months ago
- ☆11Updated 3 years ago
- ☆25Updated 3 months ago
- ☆25Updated 4 years ago
- Slides and lecture notes on how to process large spatial data with R☆43Updated 4 years ago