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Notebook","category":"Climate Change","sub_category":"Natural Hazard and Storms","monthly_downloads":553,"total_dependent_repos":1,"total_dependent_packages":0,"readme":"\u003cp align=\"center\"\u003e\n\u003ca href=\"https://github.com/nismod/snail/tree/main/tutorials\"\u003eTutorials\u003c/a\u003e |\n\u003ca href=\"https://github.com/nismod/snail/issues\"\u003eIssues\u003c/a\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"./images/snail.svg\" alt=\"snail\" /\u003e\n\u003c/p\u003e\n\n[![PyPI version](https://img.shields.io/pypi/v/nismod-snail.svg)](https://pypi.org/project/nismod-snail/)\n[![Build](https://github.com/nismod/snail/actions/workflows/build.yml/badge.svg)](https://github.com/nismod/snail/actions/workflows/build.yml)\n[![License](https://img.shields.io/pypi/l/nismod-snail.svg)](https://opensource.org/licenses/MIT)\n\n# 🤔 What is this?\n\nThis is a Python package to help with analysis of the potential impacts of\nclimate hazards and other perils on infrastructure networks.\n\n## Installation\n\nInstall using pip:\n\n    pip install nismod-snail\n\nThis should bring all dependencies with it. If any of these cause difficulties,\ntry using a [conda](https://docs.conda.io/en/latest/miniconda.html) environment:\n\n    conda env create -n snail_env \\\n        python=3.11 geopandas shapely rasterio python-igraph\n    conda activate snail_env\n    pip install nismod-snail\n\nIf all worked okay, you should be able to run python and import snail:\n\n    $ python\n    \u003e\u003e\u003e import snail\n    \u003e\u003e\u003e help(snail)\n    Help on package snail:\n\n    NAME\n        snail - snail - the spatial networks impact assessment library\n\n## Using the `snail` command\n\nOnce installed, you can use `snail` directly from the command line.\n\nSplit features on a grid defined by its transform, width and height:\n\n```bash\nsnail split \\\n    --features input.shp \\\n    --transform 1 0 -180 0 -1 90 \\\n    --width 360 \\\n    --height 180 \\\n    --output split.gpkg\n```\n\nSplit features on a grid defined by a GeoTIFF, optionally adding the values from each raster band to each split feature as a new attribute:\n\n```bash\nsnail split \\\n    --features lines.geojson \\\n    --raster gridded_data.tif \\\n    --attribute \\\n    --output split_lines_with_raster_values.geojson\n```\n\nSplit multiple vector feature files along the grids defined by multiple raster files, attributing all raster values:\n\n```bash\nsnail process -fs features.csv -rs rasters.csv\n```\n\nWhere at a minimum, each CSV has a column `path` with the path to each file.\n\n### Transform\n\nA note on `transform` - these six numbers define the transform from `i,j` cell index (column/row) coordinates in the rectangular grid to `x,y` geographic coordinates, in the coordinate reference system of the input and output files. They effectively form the first two rows of a 3x3 matrix:\n\n```\n| x |   | a  b  c | | i |\n| y | = | d  e  f | | j |\n| 1 |   | 0  0  1 | | 1 |\n```\n\nIn cases without shear or rotation, `a` and `e` define scaling or grid cell size, while `c` and `f` define the offset or grid upper-left corner:\n\n```\n| x_scale 0       x_offset |\n| 0       y_scale y_offset |\n| 0       0       1        |\n```\n\nSee [`rasterio/affine`](https://github.com/rasterio/affine#usage) and [GDAL Raster Data Model](https://gdal.org/user/raster_data_model.html#affine-geotransform) for more documentation.\n\n## Damage curve library\n\n`snail.damage_library` bundles a curated set of infrastructure damage curves\nfrom [Nirandjan et al. (2023)](https://doi.org/10.5281/zenodo.10203846)\nunder the terms of the Creative Commons Attribution 4.0 license. The data are\ninstalled alongside the package, so no extra download step is required.\n\n```python\n\u003e\u003e\u003e from snail import damage_library\n\u003e\u003e\u003e damage_library.available_curves(hazard=\"flood\").head()[\"curve_id\"].tolist()\n['F1.1', 'F1.2', 'F1.3', 'F1.4', 'F1.5']\n\u003e\u003e\u003e metadata = damage_library.get_metadata(\"F1.1\")\n\u003e\u003e\u003e metadata.exposed_element\n'Small power plants, capacity \u003c100 MW'\n\u003e\u003e\u003e curve = damage_library.load_curve(\"F1.1\")\n\u003e\u003e\u003e curve.damage_fraction([0.0, 0.5, 1.0])\narray([0.     , 0.410105, 0.82021 ])\n```\n\n## Development\n\nClone this repository using [GitHub Desktop](https://desktop.github.com/) or on\nthe command line:\n\n    git clone git@github.com:nismod/snail.git\n\nChange directory into the root of the project:\n\n    cd snail\n\nTo create and activate a conda environment with snail's dependencies installed:\n\n    conda env create -f environment.yml\n    conda activate snail-dev\n\nRun this to install the source code as a package:\n\n    pip install .\n\nIf you're working on snail itself, install it as \"editable\" along with test and\ndevelopment packages:\n\n    pip install -e .[dev]\n\nRun tests using [pytest](https://docs.pytest.org/en/latest/) and\n[pytest-cov](https://pytest-cov.readthedocs.io) to check coverage:\n\n    pytest --cov=snail --cov-report=term-missing\n\nRun a formatter ([black](https://github.com/psf/black)) to fix code\nformatting:\n\n    black src/snail\n\nBuild the docs:\n\n    rm -r docs/build\n    rm -r docs/source/tutorials\n    cp -r tutorials docs/source/\n    pushd docs\n    sphinx-apidoc -M -o source/api ../src/snail/ --force\n    make html\n    popd\n\nServe the HTML docs locally:\n\n    cd docs/build/html\n    python -m http.server\n\n### C++ library\n\nThe C++ library in `extension/src` contains the core routines to find intersections of\nlines with raster grids.\n\nBefore working on the C++ library, fetch source code for Catch2 unit testing\nlibrary (this is included as a git submodule):\n\n    git submodule update --init --recursive\n\nBuild the library and run tests:\n\n    cmake -Bbuild ./extension\n    cmake --build build/\n    ./build/run_tests\n\nRun code style auto-formatting:\n\n    clang-format -i extension/src/*.{cpp,hpp}\n\nRun lints and checks:\n\n    clang-tidy --checks 'cppcoreguidelines-*' extension/src/*.{cpp,hpp}\n\nThis may need some includes for `pybind11` - which will vary depending on your\npython installation. For example, with python via miniconda:\n\n    clang-tidy --checks 'cppcoreguidelines-*' extension/src/* -- \\\n        -I/home/username/miniconda3/include/python3.11/ \\\n        -I./pybind11/include/\n\nOr with C++ headers installed on a Linux machine:\n\n    clang-tidy --checks 'cppcoreguidelines-*' extension/src/* -- \\\n        -std=c++14  \\\n        -I/usr/include/x86_64-linux-gnu/c++/11 \\\n        -I/usr/include/c++/11 \\\n        -I{$PWD}/extension/extern/pybind11/include \\\n        -I/usr/include/python3.10\n\n### Integration of C++ and Python using pybind11\n\nThe `snail.core.intersections` module is built using `pybind11` with\n`scikit-build-core` (see [docs](https://scikit-build-core.readthedocs.io/en/latest/))\n\n- `extension/src/intersections.cpp` defines the module interface using the\n  `PYBIND11_MODULE` macro\n- `pyproject.toml` defines the build requirements for snail, which includes\n  pybind11 and scikit-build-core\n\n## Acknowledgments\n\n\u003e MIT License\n\u003e\n\u003e Copyright (c) 2020-23 Tom Russell and all [snail contributors](https://github.com/nismod/snail/graphs/contributors)\n\nThis library is developed by researchers in the [Oxford Programme for Sustainable\nInfrastructure Systems](https://opsis.eci.ox.ac.uk/) at the University of Oxford,\nfunded by multiple research projects.\n\nThis research received funding from the FCDO Climate Compatible Growth Programme.\nThe views expressed here do not necessarily reflect the UK government's official\npolicies.\n","funding_links":[],"readme_doi_urls":["https://doi.org/10.5281/zenodo.10203846"],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":[],"project_url":"https://ost.ecosyste.ms/api/v1/projects/325940","html_url":"https://ost.ecosyste.ms/projects/325940"}