Skip to main content

GitHub release (latest by date) GitHub License Read the Docs Tweet Me

Geospatial Disasters API Service

Query broadcasted news related to natural disasters and visualize them using spatial aggregations.

Broadcasted news serves as a valuable source of information for identifying natural disasters globally. Geospatial features represent extracted locations from broadcasted news to identify the locations of these events. Natural disasters such as hurricanes, floods, wildfires, and others are captured and represented as geospatial features.

The service filters thousands of online news sources mentioning occurred natural disasters. We constructed a web mercator spatial grid having a grid size being optimized for geographic visualization. Each grid cell is enriched with a count attribute representing the number of news article related to locations of the corresponding grid cell.

The service uses the impressive data source provided by the Global Database of Events, Language and Tone (GDELT) Project.

Every geospatial result support the GeoJSON and Esri FeatureSet format out of the box. For best performance, the serverless cloud-backend calculate the geospatial aggregations of the last 24 hours between midnight and 1 AM UTC. The serverless functions save these geospatial features since 24th May 2023 and yesterday should be the latest available date.

Terms of use

We designed the geospatial intelligence API services for research and analysis of geospatial knowledge worldwide. The geospatial datasets and any result being generated by these API services are available for unrestricted use for academic, commercial, or governmental use of any kind. Redistribution

You may redistribute, republish, and mirror the geospatial datasets in any form. However, any use or redistribution of the geospatial datasets and results must include a citation to GEOINT API services and a link to our website https://geospatial-ai.de.

Query the news related to natural disasters occurred the last 365 days

image

image

Release files for geodisasters 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for geodisasters 0.1.1
File Size Uploaded
geodisasters-0.1.1.tar.gz 22.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for geodisasters 0.1.1
File Interpreter ABI Platform
geodisasters-0.1.1-py3-none-any.whl Python 3 none any Details

Total release size: 30.6 kB

Release files / geodisasters-0.1.1.tar.gz

Download URL geodisasters-0.1.1.tar.gz
Size 22.6 kB
Tags Source
SHA-256 checksum
How to use checksums
d18a693b1051213175e0bb1fb3f473cfdbb310f50539ead5e75371f25af5b546
BLAKE2b-256 checksum
How to use checksums
9ea8e188d87d396740756ba74b2f35e309c4f4aca96a300b80db11f64270d67a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.10.12

Release files / geodisasters-0.1.1-py3-none-any.whl

Download URL geodisasters-0.1.1-py3-none-any.whl
Size 8.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
8fb6a1e08dd8c38e8ea399c9d5834304f195cf97e00e9c289636c19dea0ec6c7
BLAKE2b-256 checksum
How to use checksums
49c75d6ea3f07bbf04ad5924f021e2814cb0b311c72b00ff25eec8af0df0a732
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.10.12

Release history Release notifications | RSS feed

This release

0.1.1 This release

2 release files

0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page