We recently implemented an open-source outdoor map service. Buzzwords: serverless, vector tiles!
Maplibre styles in React, data-dependent styling, zoom-dependent styling, dynamic layers…
02-AREAS
GIS
Production PostGIS Vector Tiles: Caching | Crunchy Data Blog
Building maps that use dynamic tiles from the database is a lot of fun. You get the freshest data, you don't have to think about generating a static tile set, and you can do it with very minimal middleware, using pg_tileserv.
Accelerating Spatial Postgres: Varnish Cache for pg_tileserv using Kustomize | Crunchy Data Blog
Rekha offers a step-by-step guide for deploying Varnish Cache for pg_tileserv using Kustomize and the Postgres Operator for Kubernetes on OpenShift.
Documentation | Enterprise PostgreSQL Support & Kubernetes Solutions | Crunchy Data
pg_featureserv
Because there are usually many functions in a Postgres database, the service only publishes functions defined in the schemas specified in the FunctionIncludes configuration setting. By default the functions in the postgisftw schema are published.
R
Spatial Parallel Computing by Hierarchical Data Partitioning
Geospatial data computation is parallelized by grid, hierarchy, or raster files. Based on future (Bengtsson, 2024 doi:10.32614/CRAN.package.future) and mirai (Gao et al., 2025 doi:10.32614/CRAN.package.mirai) parallel back-ends, terra (Hijmans et al., 2025 doi:10.32614/CRAN.package.terra) and sf (Pebesma et al., 2024 doi:10.32614/CRAN.package.sf) functions as well as convenience functions in the package can be distributed over multiple threads. The simplest way of parallelizing generic geospatial computation is to start from par_pad_*() functions to par_grid(), par_hierarchy(), or par_multirasters() functions. Virtually any functions accepting classes in terra or sf packages can be used in the three parallelization functions. A common raster-vector overlay operation is provided as a function extract_at(), which uses exactextractr (Baston, 2023 doi:10.32614/CRAN.package.exactextractr), with options for kernel weights for summarizing raster values at vector geometries. Other convenience functions for vector-vector operations including simple areal interpolation (summarize_aw()) and summation of exponentially decaying weights (summarize_sedc()) are also provided.
VRT -- GDAL Virtual Format — GDAL documentation
The VRT driver is a format driver for GDAL that allows a virtual GDAL dataset to be composed from other GDAL datasets with repositioning, and algorithms potentially applied as well as various kinds of metadata altered or added. VRT descriptions of datasets can be saved in an XML format normally given the extension .vrt.
gdalbuildvrt — GDAL documentation
gdalbuildvrt [--help] [--long-usage] [--help-general] [--quiet] [[-strict]|[-non_strict]] [-tile_index <field_name>] [-resolution user|average|common|highest|lowest|same] [-tr <xres> <yes>] [-input_file_list <filename>] [[-separate]|[-pixel-function <function>]] [-pixel-function-arg <NAME>=<VALUE>]... [-allow_projection_difference] [-sd <n>] [-tap] [-te <xmin> <ymin> <xmax> <ymax>] [-addalpha] [-b <band>]... [-hidenodata] [-overwrite] [-srcnodata "<value>[ <value>]..."] [-vrtnodata "<value>[ <value>]..."] [-a_srs <srs_def>] [-r nearest|bilinear|cubic|cubicspline|lanczos|average|mode] [-oo <NAME>=<VALUE>]... [-co <NAME>=<VALUE>]... [-ignore_srcmaskband] [-nodata_max_mask_threshold <threshold>] <vrt_dataset_name> [<src_dataset_name>]...
This program builds a VRT (Virtual Dataset) that is a mosaic of a list of input GDAL datasets. The list of input GDAL datasets can be specified at the end of the command line, put in a text file (one filename per line) for very long lists, or it can be a MapServer tileindex (see the gdaltindex utility). If using a tile index, all entries in the tile index will be added to the VRT.
Creating new generative art tools in R with grid, ambient, and S7 – Notes from a data witch
There might be a darker undercurrent in this one
unvt/charites: It is an application to style vector tiles easily
It is an application to style vector tiles easily. Contribute to unvt/charites development by creating an account on GitHub.
Comp Report Read More | PRYCD
Read more about our comp reports, what they offer, and how each of the sections can help you make a more informed decision about a property.
ArcGIS services architecture (logic) | ArcGIS Architecture Center
ArcGIS Well-Architected.
Topographic Map Colors - Coolors
Get inspired by these beautiful i-am-looking-for-colors-for-topographic-maps color schemes and make something cool!
Maps Color Palettes - Coolors
Get inspired by thousands of beautiful color schemes and make something cool!
Home
Pixi Documentation — Next-gen package manager for reproducible development setups
ArcGIS Hub
Discover, analyze and download data from ArcGIS Hub. Download in CSV, KML, Zip, GeoJSON, GeoTIFF or PNG. Find API links for GeoServices, WMS, and WFS. Analyze with charts and thematic maps. Take the next step and create StoryMaps and Web Maps.
MassGIS Data Layers
Each digital dataset name below links to a complete data layer description. On each page you will find metadata and links to free data downloads.
Landscape Visualizations in R and Unity
Functions for the retrieval, manipulation, and visualization of geospatial data, with an aim towards producing 3D landscape visualizations in the Unity 3D rendering engine. Functions are also provided for retrieving elevation data and base map tiles from the USGS National Map https://apps.nationalmap.gov/services/.
Environmental Due Diligence for Corporate Real Estate Transactions
Environmental due diligence is the process that evaluates the environmental conditions and risks associated with a property.
Bump {tibblify} package dependency to latest stable release · Issue #92 · jonthegeek/rapid
Just noticed this when installing the package: pak::pkg_install("jonthegeek/rapid")
Software Architecture
Documenting functions
The basics of roxygen2 tags and how to use them for documenting functions.
Instead of including examples directly in the documentation, you can put them in separate files and use @example path/relative/to/package/root to insert them into the documentation.
Ports & Adapters Architecture
This post is part of The Software Architecture Chronicles, a series of posts about Software Architecture. In them, I write about what I’ve…
The traditional approach will likely bring us problems both on the front-end side and on the backend side.
On the front-end side we end up having leakage of business logic into the UI (ie. when we put use case logic in a controller or view, making it unreusable in other UI screens) or even leakage of the UI into the business logic (ie. when we create methods in our entities because of some logic we need in a template).
A port is a consumer agnostic entry and exit point to/from the application. In many languages, it will be an interface. For example, it can be an interface used to perform searches in a search engine. In our application, we will use this interface as an entry and/or exit point with no knowledge of the concrete implementation that will actually be injected where the interface is defined as a type hint.
An adapter is a class that transforms (adapts) an interface into another.
For example, an adapter implements an interface A and gets injected an interface B. When the adapter is instantiated it gets injected in its constructor an object that implements interface B. This adapter is then injected wherever interface A is needed and receives method requests that it transforms and proxies to the inner object that implements interface B.
The adapters on the left side, representing the UI, are called the Primary or Driving Adapters because they are the ones to start some action on the application, while the adapters on the right side, representing the connections to the backend tools, are called the Secondary or Driven Adapters because they always react to an action of a primary adapter.
The Modern Geospatial Stack: From PostGIS to GeoAI
Introduction: The Geospatial Data Revolution