Skip to main content

A utility package for coastal resilience analysis.

Project description

Coastal Resilience Utilities

This repository contains utilities for coastal resilience analysis and design.

Contents

  • damage_assessment: damage assessments based on earth observation data and National Structure Inventory.
  • damage_assessment_usvi: damage assessments based on low-res NSI grids + OpenBuildings
  • mosaic: Mosaicking datasets.
  • summary_stats: Summarize raster datasets using vector points and polygons.
  • utils: A variety of functionality for doing geospatial analysis. Rasterize, vectorize, fetch features from OSM/OpenBuildings/ArcOnline, extract values from rasters.

Installation

The recommended way to install this repo is to use the provided Makefile to build a Docker image.

For example:

EXTRA_DOCKER_ARGS="-v <YOUR DATA DIRECTORY>:/data -v /cccr-lab:/cccr-lab" make bash-terminal

There are two env files:

  • .env, which at this moment just contains GCP credentials
  • .data.env, which maps files necessary for damage assessment

Note that it's a little tricky to guarantee out-of-the-box until we get more developers actively using this repo, but I do attempt to deploy this on multiple computers and make sure things work. If you have trouble let's work it out!

Examples

Check out the testing directory for examples on running analysis.

There are two other relevant repos in Gitlab:

  • Datacube, which basically scales raster analyses
  • GeospatialServices, which runs a variety of servers such as:
    • Jupyter for an analysis env
    • Prefect for reproducibility
    • Tile servers for app development

You don't need either to run, but the examples in GeospatialServices/Jupyter/notebooks are useful to understand using damage assessment.

Schematic

The Figjam schematic can be found here

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

coastal_resilience_utilities-0.1.29.tar.gz (330.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

coastal_resilience_utilities-0.1.29-py3-none-any.whl (350.8 kB view details)

Uploaded Python 3

File details

Details for the file coastal_resilience_utilities-0.1.29.tar.gz.

File metadata

File hashes

Hashes for coastal_resilience_utilities-0.1.29.tar.gz
Algorithm Hash digest
SHA256 4426cb28138b918aeba792e0475b6752c674f1683d3984f54cdff360b5dbdcb1
MD5 07087be0b32989b1da3a4e690a532136
BLAKE2b-256 65ca8c312efeae6e5578a3fa4c450395bbc23bf3657c40581dcbb0fbd07ef2b6

See more details on using hashes here.

File details

Details for the file coastal_resilience_utilities-0.1.29-py3-none-any.whl.

File metadata

File hashes

Hashes for coastal_resilience_utilities-0.1.29-py3-none-any.whl
Algorithm Hash digest
SHA256 bfc28205718cb418cbfe0bcae2af5e3b7efd5d652c6c8be50a9e9234de1df380
MD5 06e5fe8a8001c1dd43e8f439baf171d1
BLAKE2b-256 ff5dc6f4d0e1c061a31f636752b539775e7a860a9f4c6b15a8ce7a440dc6d768

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page