Guess that lake (?) in this recolored SAR image taken over the Western US by Sentinel-1-GRD just two days ago. Image pulled via xyzeus in one line of code, dataset courtesy of Microsoft Planetary Computer. #xyzeus #planetarycomputer #geospatialpy
xyzeus
Software Development
Washington, DC 38 followers
A robust geospatial data analytics python engine combining industry leading and cutting edge open source libraries.
About us
XYZeus is a comprehensive geospatial database and mapping platform that provides users with a wealth of data and tools for managing and analyzing geospatial information. With XYZeus, users can access a wide range of geospatial data, including satellite imagery, terrain data, and geographic information system (GIS) data, making it easy to find and visualize the information they need. One of the key features of XYZeus is its use of deep learning algorithms, which enable the platform to automatically extract and classify features from satellite imagery, such as roads, buildings, and vegetation. This makes it easy to create accurate maps and perform rapid mapping in emergency situations, such as natural disasters or humanitarian crises. In addition to its deep learning capabilities, XYZeus also provides users with powerful mapping tools, allowing them to visualize their data in a variety of ways, including heat maps, point maps, and choropleth maps. Users can also perform advanced spatial analysis using the platform's GIS tools, which allow them to perform proximity analysis, network analysis, and spatial statistics. XYZeus is designed to be a flexible and scalable platform, allowing users to customize their workflows and integrate their own data and tools. It can be accessed from anywhere with an internet connection, making it a valuable resource for researchers, businesses, and government agencies around the world. XYZeus is a powerful geospatial database and mapping platform that provides users with deep learning capabilities, rapid mapping tools, and advanced spatial analysis capabilities. Its flexibility, scalability, and ease-of-use make it a valuable resource for anyone working with geospatial data.
- Industry
- Software Development
- Company size
- 2-10 employees
- Headquarters
- Washington, DC
- Type
- Privately Held
- Specialties
- Python Geospatial Data Science
Locations
-
Primary
Get directions
Washington, DC 20001, US
Updates
-
A fused dataset of OSM, Google, and Microsoft Building Footprints over Madrid, Spain, courtesy of the work done by VIDA. The data was queried via user-defined bounding box and in 1 line of code via xyzeus, with a total run time of about 1 minute. #geospatialpy #xyzeus #osm
-
-
xyzeus now supports area searches for querying the Foursquare POI database. Simply draw and area on a map, grab the WKT, and submit it into the area_search() method of the Foursquare() class. Optional params include category and country. I used the polygon on the left to query on all POIS in Manhattan in 1 line of code. The query took about 1 minute and 26 seconds. Result on the right 😍 #xyzeus #foursquare
-
-
A heatmap of recreational and medical marijuana facilities in the contiguous United States. Data pulled in 1 line of code via xyzeus on the Fetch.Foursquare() class, which reaches inside of the Foursquare's MASSIVE and recently released poi dataset. #xyzeus #geospatialpy
-
-
Experimenting and onboarding the new the Foursquare datasource that was publicly released this month. Reach out for inquiries on how to use or incorporate into your own platform. Yes, the data is dense, and also yes, it is a total game changer and competes with the likes of OSM, Overture, Microsoft BF, and Google BF. #xyzeus #geospatialpy
-
-
Every Incorporated Place in America. 🤩 Data pulled via xyzeus, courtesy of the U.S. Census Bureau
-
-
The pixel difference between a 30m, 10m, and 1m resolution Digital Elevation Model of Humphrey's Peak, Flagstaff, Arizona. Use depends on whether your firm is looking for scale OR detail. The below datasets were queried via the opentopo() method of xyzeus and in 1 line of code. #geospatialpy #xyzeus OpenTopography
-
Need 3D building footprints anywhere in the world ? 🌎 🌆 The below dataset (Miami, Florida) was pulled in 30 seconds and with ONE line of code. #xyzeus #geospatialpy
-
Our integration with the National Weather Service allows us to pull real time minor, moderate, severe, or even extreme weather alerts and associated locational and descriptive attribution anytime, anywhere. The below image is every real-time extreme weather alert areas associated with the onset of hurricane Helene. Please take cover and stay safe 🙏 #GISforgood #xyzeus #geospatialpy
-
-
Looking for high resolution Global Coastline boundaries? xyzeus is currently doing geospatial integration with the Eurostat api. The below dataset was queried in ONE line of code in under 3 seconds. That and much more in the pipeline! Exciting things ahead #xyzeus #geospatialpy #eurostat
-