No Clocks
R - Shiny
Shiny Packaging Custom JS
Shiny is a package that makes it easy to create interactive web apps using R and Python.
Shiny Custom Input Bindings
Shiny is a package that makes it easy to create interactive web apps using R and Python.
Shiny Sending Messages
Shiny is a package that makes it easy to create interactive web apps using R and Python.
Shiny Selectize Input
Shiny is a package that makes it easy to create interactive web apps using R and Python.
What is a Real Estate API? A Guide to Real Estate Data Integration
A real estate API (Application Programming Interface) is a digital tool that enables developers to access and integrate comprehensive real estate data into applications, websites, or services. These APIs provide real-time, on-demand information on properties and parcels.
APIsPropwire: Free Property Data | Real Estate Leads for Investors & Agents
LandRise (LightPath)![How To Search & Download FREE Property Data [Propwire Off-Market Tutorial]](https://rdl.ink/render/https%3A%2F%2Fi.ytimg.com%2Fvi%2FIBIbX6MYQRU%2Fmaxresdefault.jpg?width=92&height=&ar=&mode=&format=avif&dpr=2)
How To Search & Download FREE Property Data [Propwire Off-Market Tutorial]
In this video, you'll learn step by step how to search and download unlimited free property data using Propwire. Start your free account today:https://joinpr...
Perform requests iteratively, generating new requests from previous responses — req_perform_iterative
req_perform_iterative() iteratively generates and performs requests,
using a callback function, next_req, to define the next request based on
the current request and response. You will probably want to pair it with an
iteration helper and use a
multi-response handler to process the result.
Real Estate Api
In this video, I walk you through the real estate API available in the App Marketplace. I demonstrate how to install the app and navigate through its feature...
Introducing fodr: a package for French open data in R
Nowadays, more and more government organisations subscribe to the open data movement and some have done so in France, in the hopes that new services or insights would come from the analysis of this data.
R
AI
Cursor – Working with Context
How to work with context in Cursor
Intent context defines what the user wants to get out of the model. For example, a system prompt usually serves as high-level instructions for how the user wants the model to behave. Most of the “prompting” done in Cursor is intent context. “Turn that button from blue to green” is an example of stated intent; it is prescriptive.
State context describes the state of the current world. Providing Cursor with error messages, console logs, images, and chunks of code are examples of context related to state. It is descriptive, not prescriptive.
Together, these two types of context work in harmony by describing the current state and desired future state, enabling Cursor to make useful coding suggestions.
Census Core-Based Statistical Area (CBSA) to Federal Information Processing Series (FIPS) County Crosswalk
PostGIS 3.5.4dev Manual
PostGIS is an extension to the PostgreSQL object-relational database system which allows GIS (Geographic Information Systems) objects to be stored in the database. PostGIS includes support for GiST-based R-Tree spatial indexes, and functions for analysis and processing of GIS objects. This is the manual for version 3.5.4dev This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. Feel free to use this material any way you like, but we ask that you attribute credit to the PostGIS Project and wherever possible, a link back to https://postgis.net.
GISChapter 4. Data Management
The Open Geospatial Consortium (OGC) developed the Simple Features Access standard (SFA) to provide a model for geospatial data. It defines the fundamental spatial type of Geometry, along with operations which manipulate and transform geometry values to perform spatial analysis tasks. PostGIS implements the OGC Geometry model as the PostgreSQL data types geometry and geography.
Geometry is an abstract type. Geometry values belong to one of its concrete subtypes which represent various kinds and dimensions of geometric shapes. These include the atomic types Point, LineString, LinearRing and Polygon, and the collection types MultiPoint, MultiLineString, MultiPolygon and GeometryCollection. The Simple Features Access - Part 1: Common architecture v1.2.1 adds subtypes for the structures PolyhedralSurface, Triangle and TIN.
Geometry models shapes in the 2-dimensional Cartesian plane. The PolyhedralSurface, Triangle, and TIN types can also represent shapes in 3-dimensional space. The size and location of shapes are specified by their coordinates. Each coordinate has a X and Y ordinate value determining its location in the plane. Shapes are constructed from points or line segments, with points specified by a single coordinate, and line segments by two coordinates.
Geometry values are associated with a spatial reference system indicating the coordinate system in which it is embedded. The spatial reference system is identified by the geometry SRID number. The units of the X and Y axes are determined by the spatial reference system. In planar reference systems the X and Y coordinates typically represent easting and northing, while in geodetic systems they represent longitude and latitude. SRID 0 represents an infinite Cartesian plane with no units assigned to its axes. See Section 4.5, “Spatial Reference Systems”.
An important property of geometry values is their spatial extent or bounding box, which the OGC model calls envelope. This is the 2 or 3-dimensional box which encloses the coordinates of a geometry. It is an efficient way to represent a geometry's extent in coordinate space and to check whether two geometries interact.
WKT
The OGC SFA specification defines two formats for representing geometry values for external use: Well-Known Text (WKT) and Well-Known Binary (WKB). Both WKT and WKB include information about the type of the object and the coordinates which define it.
Well-Known Text (WKT) provides a standard textual representation of spatial data.
Input and output of WKT is provided by the functions ST_AsText and ST_GeomFromText:
Well-Known Binary (WKB) provides a portable, full-precision representation of spatial data as binary data (arrays of bytes).
Quantitative Analysis and Visualization of LUCC
Tools for the analysis of land use and cover (LUC) time series. It
includes support for loading spatiotemporal raster data and synthesized
spatial plotting. Several LUC change (LUCC) metrics in regular or irregular
time intervals can be extracted and visualized through one- and multistep
sankey and chord diagrams. A complete intensity analysis according to
Aldwaik and Pontius (2012) is
implemented, including tools for the generation of standardized multilevel
output graphics.
r-spatialecology/landscapemetrics: Landscape Metrics for Categorical Map Patterns 🗺️ in R
Landscape Metrics for Categorical Map Patterns 🗺️ in R - r-spatialecology/landscapemetrics
simonmoulds/lulcc: land use change modelling in R
land use change modelling in R
land-record/parcel-standard: Standard Land Record parcel schema
Standard Land Record parcel schema
reyemtm/parcel-viewer: Open Parcel Viewer - A mobile ready web app for displaying 50k parcels or polygons without needing a GIS server.
Open Parcel Viewer - A mobile ready web app for displaying 50k parcels or polygons without needing a GIS server. - reyemtm/parcel-viewer