No Clocks

One of our main projects at Jumping Rivers in the last year has been building the Litmusverse, a platform for validation. An important component when assessing the quality of code within a package is the unit tests. In this blog we discuss the main features of the `{testthat}` package, as a very convenient way for testing R code.

As land developers have data at their disposal, here are five sources that are overlooked or even unknown, despite many practical benefits.

Enrich your data with global demographic, behavioral, and places data. Learn more about our ArcGIS GeoEnrichment Service and get started today.

How I built my unified, modular AI system named Kai

As stated in each article in this series, the sales comparison approach is only as good as the comparables used to arrive at the value for the subject

September 2025

Zoning regulations significantly shape the landscape of property development, influencing how you can utilize or invest in your parcel. Understanding land use zoning information not only informs you about permissible uses for your property but also impacts your decisions regarding future developments, sales, or improvements. By familiarizing yourself with local zoning laws, you can better

Property valuation has undergone a dramatic transformation over the past decade, thanks to the rise of artificial intelligence (AI), accessible big data, and sophisticated analytics platforms. Gone are the days when property values relied solely on local experts’ intuition and basic comps.

The table below lists the property attributes for version 2. Attribute Name Description pbKey Unique ID for an addressable location. propApn Formatted assessor's parcel number (APN) or parcel ...

Effective real estate data collection enables informed decision-making, strategic optimization, and competitive advantage. Prioritizing data collection is essential for profitable […]

Nationwide Land Parcel Dataset

15 geospatial data management best practices for a successful business strategy.

Geospatial data integration can give your organization powerful insights, but it’s not without its challenges. We’ll discuss some issues and how to tackle them.

Get a basic overview of what geospatial data is and why it’s important as a prelude to a deeper discussion on the ins and outs of geospatial data.

Thematic maps: definition, different types, examples and use cases. Discover everything you need to know about thematic maps in our guide.

Learn more about geospatial data types, discover purposes of each data type, see examples and different use cases in our guide

how to determine the zoning classification of your property, read zoning maps, and understand local land-use laws to make informed real estate decisions.

Explore how Topography Real Estate impacts property value, development, and investment potential. Learn essential tips for buyers and developers.

Metadata is information about data. Similar to a library catalog record, metadata records document the who, what, when, where, how, and why of a data resource. Geospatial metadata describes maps, Geographic Information Systems (GIS) files, imagery, and other location-based data resources. The FGDC is tasked by Executive Order 12906 to enable access (see GeoPlatform.gov) to National Spatial Data Infrastructure (NSDI) resources and by OMB Circular A-16 and the A-16 Supplemental Guidance to support the creation, management, and maintenance of the metadata required to fuel data discovery and access.

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We break down the three main methods of real estate data integration. Data integration is the key to transforming raw, fragmented data into actionable insights. It allows real estate professionals, investors and analysts to derive meaningful conclusions. We show you how.

Discover how integrated GIS enhances zoning compliance in land development.

Esri Geoportal Server is a free, open-source, stand-alone metadata catalog management app that enables discovery and use of geospatial resources such as datasets, raster data & web services.

At Niantic, we are pioneering the concept of a Large Geospatial Model that will use large-scale machine learning to understand a scene and connect it to millions of other scenes globally.