No Clocks

Linux Foundation Project

Distributed version-control for geospatial and tabular data

API bindings to the Geospatial Data Abstraction Library ('GDAL', ). Implements the 'GDAL' Raster and Vector Data Models. Bindings are implemented with 'Rcpp' modules. Exposed C++ classes and stand-alone functions wrap much of the 'GDAL' API and provide additional functionality. Calling signatures resemble the native C, C++ and Python APIs provided by the 'GDAL' project. Class 'GDALRaster' encapsulates a 'GDALDataset' and its raster band objects. Class 'GDALVector' encapsulates an 'OGRLayer' and the 'GDALDataset' that contains it. Initial bindings are provided to the unified 'gdal' command line interface added in 'GDAL' 3.11. C++ stand-alone functions provide bindings to most 'GDAL' "traditional" raster and vector utilities, including 'OGR' facilities for vector geoprocessing, several algorithms, as well as the Geometry API ('GEOS' via 'GDAL' headers), the Spatial Reference Systems API, and methods for coordinate transformation. Bindings to the Virtual Systems Interface ('VSI') API implement standard file system operations abstracted for URLs, cloud storage services, 'Zip'/'GZip'/'7z'/'RAR', in-memory files, as well as regular local file systems. This provides a single interface for operating on file system objects that works the same for any storage backend. A custom raster calculator evaluates a user-defined R expression on a layer or stack of layers, with pixel x/y available as variables in the expression. Raster 'combine()' identifies and counts unique pixel combinations across multiple input layers, with optional raster output of the pixel-level combination IDs. Basic plotting capability is provided for raster and vector display. 'gdalraster' leans toward minimalism and the use of simple, lightweight objects for holding raw data. Currently, only minimal S3 class interfaces have been implemented for selected R objects that contain spatial data. 'gdalraster' may be useful in applications that need scalable, low-level I/O, or prefer a direct 'GDAL' API.

I use WSL instances on my machine in VSCode to test and develop scripts, as well as to easily test Linux-based applications on my Windows machine. In this blog post, I will show how the Module work…

Are Tidyverse wrappers around powerful database engines really worth it?

You need an explicit external generic when you want to provide methods for a generic (S3, S4, or S7) that is defined in another package, and you don't want to take a hard dependency on that package. The easiest way to provide methods for generics in other packages is import the generic into your NAMESPACE. This, however, creates a hard dependency, and sometimes you want a soft dependency, only registering the method if the package is already installed. new_external_generic() allows you to provide the minimal needed information about a generic so that methods can be registered at run time, as needed, using methods_register(). Note that in tests, you'll need to explicitly call the generic from the external package with pkg::generic().

Create a chart image with one URL and embed anywhere. Open source, no watermarks.

Tool to suck data from ArcGIS Server and spit it into PostgreSQL - johnjreiser/chupaESRI

Data from the United States Census Bureau are commonly visualized using maps, given that Census and ACS data are aggregated to enumeration units. This chapter will cover the process of map-making...

As discussed in previous chapters of this book, Census and ACS data are associated with geographies, which are units at which the data are aggregated. These defined geographies are represented in...

Orchestrate Geospatial (Meta)Data Management Workflows and Manage FAIR Services - r-geoflow/geoflow

Free universal database tool and SQL client

How to Search Floodmaps for Free Online

Working with the FEMA Flood Layer

A consistent tool kit for forward and reverse geocoding and defining boundaries for spatial analysis.