5 posts tagged with "h3"

Farmers and analysts face a familiar challenge: weather and crop data is fragmented, slow to process, and hard to act on.

We worked with Emma Quirk (Senior Data Analyst) and Majid Alivand (Senior Data & Analytics Manager) to showcase how Fused can help bring all these datasets together. In this webinar they give an overview of the industry challenges interfacing backend data analytics with frontend data consumption. Emma walks through the notebook she used to model climate and irrigation patterns for vineyards.

TL;DR Enriching your spatial data with GERS IDs can make it interoperable across the data ecosystem. You can use Fused UDFs to create custom HTTP endpoints to enrich your data with GERS.

The Global Entity Reference System (GERS) is a framework that structures, encodes, and matches map data to a shared universal reference within Overture. GERS helps organizations identify and reference their own datasets with standard identifiers to Overture data to help unify datasets.

In this blog post we show how to create simple endpoints with Fused UDFs to enrich a dataset with GERS IDs. We'll use the Overture Building footprints to first enrich a polygon with GERS IDs then another one to look-up metadata for a specified GERS ID.

TL;DR Elizabeth Rosenbloom creates hotspot maps to identify key areas where Arundo donax is likely to spread, streamlining analysis to improve invasive species mitigation.

In 2020 while working in Silicon Valley for the county of Santa Clara Valley, I became obsessed with improving monitoring and prevention efforts surrounding Arundo donax. The search and mitigation process this invasive plant species, Arundo donax, was a Sisophisian struggle that had been subject to the same procedures year in and year out, with no progress on beating the spread. To improve the efficacy and efficiency in battling against this notorious weed, I decided to build a tool that would identify the key areas for mitigation - both for the frequency of propagation (occurrence) and for spread potential.

In this blog post I show how I used Fused to create a map of key hotspots where Arundo donax is likely to spread based on built-environment factors derived from Overture Maps data.

TL;DR Chris Amico shows how to combine Overture Maps data with fire perimeters to analyze wildfire impact on buildings and businesses.

As communities continue to rebuild and recover from the devastation caused by natural disasters such as wildfires, the question remains: How can we quantify what was lost, especially in the built environment? With the ability to analyze detailed building footprints and overlay fire boundaries, we can begin to answer this by providing a rough estimate of the damage and identifying which structures were impacted by the flames.

In this blog post, Chris Amico shows how by leveraging data such as Overture Building footprints and fire progression maps, we can gain insight into the extent of fire risk. This enables news agencies to derive insights such as count of shops or homes exposed or even assess the capacity of highway routes for residents to evacuate before a prospect fire reaches them.

TL;DR GLS uses Fused to create internal tooling to optimize routing for parcel delivery operations.

In the parcel delivery business, geospatial analyses are crucial to answer questions about daily operations. Do delivery drivers visit the same regions each day, letting them know their areas intimately? Or is there a high volatility of the regions? And of course, how do we optimize the routes of multiple drivers servicing the same region?

Those are the questions Antonius is working on at GLS Studio, an innovation lab by GLS (General Logistics Systems) which is an international parcel delivery service provider.

In this blog post, Antonius highlights how he uses Fused to create stable delivery areas for single-day and multi-day aggregates.