Skip to main content

Utilities for conducting coastal resilience assessments

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-0.1.11.tar.gz (312.3 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-0.1.11-py3-none-any.whl (322.3 kB view details)

Uploaded Python 3

File details

Details for the file coastal_resilience_utilities-0.1.11.tar.gz.

File metadata

File hashes

Hashes for coastal_resilience_utilities-0.1.11.tar.gz
Algorithm Hash digest
SHA256 c676b10184162afc0c7e07a9fa8019ef6bde27ecdbcc33ad19520a84b03b0364
MD5 36741c925e15a40805f2572cc671f198
BLAKE2b-256 9e02809ca764fc74440be2ecc439276cc11cdc4ae6b278db0354dcfa221c3010

See more details on using hashes here.

File details

Details for the file coastal_resilience_utilities-0.1.11-py3-none-any.whl.

File metadata

File hashes

Hashes for coastal_resilience_utilities-0.1.11-py3-none-any.whl
Algorithm Hash digest
SHA256 053a269a0af42b058ebd6794467509193c8e321703fbb6af3ecaa2ed657f1ee8
MD5 6b6b9039825250605c07e192cc78802f
BLAKE2b-256 26466d0b6426db9586bc1de0faf3ca5e3ad447b652da5472f0d16f1edfaddb5c

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