Functions to efficiently query ArcGIS REST APIs . Both spatial and SQL queries can be used to retrieve data. Simple Feature (sf) objects are utilized to perform spatial queries. This package was neither produced nor is maintained by Esri.
Functions to efficiently query 'ArcGIS REST' APIs <a href="https://developers.arcgis.com/rest/" target="_top"https://developers.arcgis.com/rest//a>. Both spatial and SQL queries can be used to retrieve data. Simple Feature (sf) objects are utilized to perform spatial queries. This package was neither produced nor is maintained by Esri.
Effortlessly download geospatial data with Galileo. Simplify data access with user-friendly features, save time and money, and handle large datasets seamlessly
Provides a minimal R and C++ API for parsing well-known binary and well-known text representation of geometries to and from R-native formats. Well-known binary is compact and fast to parse; well-known text is human-readable and is useful for writing tests. These formats are useful in R only if the information they contain can be accessed in R, for which high-performance functions are provided here.
geojsonio: Convert Data from and to 'GeoJSON' or 'TopoJSON'
Convert data to 'GeoJSON' or 'TopoJSON' from various R classes, including vectors, lists, data frames, shape files, and spatial classes. 'geojsonio' does not aim to replace packages like 'sp', 'rgdal', 'rgeos', but rather aims to be a high level client to simplify conversions of data from and to 'GeoJSON' and 'TopoJSON'.
Package for CShapes 2.0, a GIS dataset of country borders (1886-today). Includes functions for data extraction and the computation of distance matrices and -lists.
Calculates landscape metrics for categorical landscape patterns in a tidy workflow. landscapemetrics reimplements the most common metrics from FRAGSTATS () and new ones from the current literature on landscape metrics. This package supports terra SpatRaster objects as input arguments. It further provides utility functions to visualize patches, select metrics and building blocks to develop new metrics.
LLM provides many advantages to the users, especially for coding. Once user had to switch the windows from the coding environment to the browser to search for the solution. But now, thanks to the newly advancements, users can chat with the LLM and get the solution for their queries on the same coding environment in R.
My Workflow With AI: How I Code, Test, and Deploy Faster Than Ever
Today I want you share my development workflow with AI. I want to share how I start working on a new feature, how I manage product requirement documents, or PRDs, how I write code and test it, and how I move through the development lifecycle. The way I approach all that today is very different from the way I did all that in the past. There is a whole team working on each feature, with me being the only human involved.
Maximizing Agent Mode in GitHub Copilot · community · Discussion #159255
Redefining Developer Productivity Agent Mode in GitHub Copilot is quietly becoming one of the most powerful tools in a developer’s workflow. It is not just about autocomplete anymore. With Agent Mo...
Get a quick overview of the GitHub Copilot features in Visual Studio Code. GitHub Copilot provides AI-powered features to help you write code faster and with less effort.