01A-CLIENTS
LandRise (LightPath)
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.
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.
Getting Started with the Regrid Interactive API Sandbox
No hassles, no delays, no credit-card required API Testing
Bettermaps.ai | Bettermaps.ai
Description will go into a meta tag in
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.
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
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 LawLightweight Well-Known Geometry Parsing
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.
RealEstateApi/docs
Contribute to RealEstateApi/docs development by creating an account on GitHub.
how can I setup my landrise.reapi package's caching (leverages a layered...
To integrate Azure Cloud Storage caching into the landrise.reapi package while maintaining existing layered caching functionality, here's a structured...
Extra Functions for Simple Feature Data
Extra functions with additional options for reading, writing, and transforming spatial data. Includes a variety of utility functions for working with tabular data with coordinates and distance and area units.
Regrid Data Store
159 million parcel boundaries and records covering 99% of Americans across 3,229 counties and growing. Purchase high quality, standardized parcel data by the county, state, or nationwide.