No Clocks
LandRise (LightPath)
Generating quarto syntax within R – Notes from a data witch
To quote Cassian Andor, “It’s harder than it looks”
Garnish/decorate leaflet or mapview maps. — garnishMap
This function provides a versatile interface to add components to a
leaflet or mapview map. It takes functions such as "addMouseCoordinates"
or addLayersControl and their respective arguments and adds
them to the map. Arguments must be named. Functions can be plain or
character strings.
Add static labels to leaflet or mapview objects — addStaticLabels
Being a wrapper around addLabelOnlyMarkers, this
function provides a smart-and-easy solution to add custom text labels to an
existing leaflet or mapview map object.
Add a reactive layer to map. — addReactiveFeatures
This function adds a layer to a map that is dependent on another layer.
The reactive layer will be shown/hidden when holding the Ctrl-button on your
keyboard and performing the action defined by on. on can be
either "click" (default) or "mouseover".
Note: srcLayer needs to be added to the map using addGeoJSON
because we need to be able to link the two layers by a common attribute
defined by argument by. Linking will be done via group name
of srcLayer.
Mundi Documentation
Mundi is an open source web GIS built around AI (AGPLv3).
Create interactive shiny maps with leaflet
Learn how to create and customize professional-quality, interactive maps in R shiny.
Generating a downloadable Quarto document from a shiny app on shinyapps.io
The following shiny app is intended pass user inputs from the app into a parameterized html quarto document that, when rendered, is downloaded via downloadHandler() and downloadButton(). This reproducible example works perfectly when deployed locally, but not when hosted on shinyapps.io. My understanding is that the quarto::quarto_render() call should have permission to write a file on shinyapps.io (it wouldn't be persistent from instance to instance, but that's fine). Does shinyapps.io not supp...
Including Quarto Template in R Package
Include a Quarto template with an R package as you would with R Markdown.
Bettermaps.ai | Bettermaps.ai
Description will go into a meta tag in
Landworth App
Landworth is the new Valuation Platform for the UK Property Market. It searches the whole market in real time, identifies the best deals and calculates the price for any property in under a minute.
Landworth | AI-Powered Property Prices
Landworth uses AI technologies to power Search and Valuation Copilot tools, that find the best deals on the market and generate Desktop Valuation Reports in seconds.
Getting Started with the Regrid Interactive API Sandbox
No hassles, no delays, no credit-card required API Testing
Zoom levels - Leaflet - a JavaScript library for interactive maps
To understand how zoom levels work, first we need a basic introduction to geodesy.
When we represent the world at zoom level zero, it’s 256 pixels wide and high. When we go into zoom level one, it doubles its width and height, and can be represented by four 256-pixel-by-256-pixel images:
At each zoom level, each tile is divided in four, and its size (length of the edge, given by the tileSize option) doubles, quadrupling the area. (in other words, the width and height of the world is 256·2zoomlevel pixels):
In technical terms, the cylindrical projection that Leaflet uses is conformal (preserves shapes), but not equidistant (does not preserve distances), and not equal-area (does not preserve areas, as things near the equator appear smaller than they are).
setView(center, zoom), which also sets the map center
flyTo(center, zoom), like setView but with a smooth animation
zoomIn() / zoomIn(delta), zooms in delta zoom levels, 1 by default
zoomOut() / zoomOut(delta), zooms out delta zoom levels, 1 by default
setZoomAround(fixedPoint, zoom), sets the zoom level while keeping a point fixed (what scrollwheel zooming does)
fitBounds(bounds), automatically calculates the zoom to fit a rectangular area on the map
Docker vs Kubernetes : A Comparison - Virtualization - Spiceworks
In the world of virtualization today, there are two words that you no doubt here a lot about – Docker and Kubernetes. The world of container technology has...
Kubernetes
DevSpace - The Fastest Developer Tool for Kubernetes (open-source)
DevSpace is an open-source CLI tool that allows you to accelerate your development workflow when building applications on top of Kubernetes. It provides a powerful localhost UI and uses hot reloading to update containers while you are coding.
Quickstart: Deploy your first container app with containerapp up
Deploy your first application to Azure Container Apps using the Azure CLI containerapp up command.
Docker and Kubernetes | Docker
My Workplay on Docker and Kubernetes. Ref : https://github.com/Rohithv07/DockerCasts
Containerize Your Apps with Docker and Kubernetes | Microsoft Azure
Read this e-book to learn how to deploy, scale, orchestrate, and manage containerized applications using Kubernetes with Docker.
Getting started with Docker and Kubernetes: a beginners guide
Docker and Kubernetes have revolutionized the way we develop and deploy applications at scale. It's best to get started with them now.
Getting started with Docker and Kubernetes on Windows 10
In this article you'll learn how to make the right choices when it comes to setting up your development environment on Windows.
Pull Data from an ArcGIS REST API
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.
State of Georgia GIS Data Sources
Explore open datasets, government portals, and reliable sources to support your projects. Start exploring Georgia's GIS data today!
Bastien Law