diff --git a/notebooks/bounding-box-chad.ipynb b/notebooks/bounding-box-chad.ipynb deleted file mode 100644 index 84f066b..0000000 --- a/notebooks/bounding-box-chad.ipynb +++ /dev/null @@ -1,220 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "228a3564-0d0a-4af6-8876-70faad62408d", - "metadata": {}, - "source": [ - "# Chad Bounding box\n", - "\n", - "Getting Bounding box for Chad using [MapAction static data](https://github.com/mapaction/geocint-mapaction/blob/main/static_data/countries_world/tcd.json)\n", - "\n", - "This notebook is for investigative purposes only, and serves as a visual documentation on finding the bounding box values. \n", - "The Python code will include only the final result in `CHAD_BOUNDING_BOX` constant. " - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "619fd662-af68-43fb-8581-4f85a2461e41", - "metadata": {}, - "outputs": [], - "source": [ - "import geopandas as gpd" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "8783dd7a-2158-43d7-8830-aafdc0be2518", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 404 ms, sys: 23.3 ms, total: 427 ms\n", - "Wall time: 663 ms\n" - ] - } - ], - "source": [ - "%%time\n", - "shapefile = gpd.read_file(\n", - " \"https://raw.githubusercontent.com/mapaction/geocint-mapaction/main/static_data/countries_world/tcd.json\"\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "0a1c9c54-2f1d-46c8-a8dd-a226d34ba07c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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isoname_engeometry
0TCDChadPOLYGON ((13.47347 14.44282, 13.47508 14.45201...
\n", - "
" - ], - "text/plain": [ - " iso name_en geometry\n", - "0 TCD Chad POLYGON ((13.47347 14.44282, 13.47508 14.45201..." - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "shapefile" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "5a6b8790-6618-4613-8c77-f745bba024ff", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "shapefile.plot();" - ] - }, - { - "cell_type": "markdown", - "id": "c8c488b7-c138-43f1-920e-31ae6031c45f", - "metadata": {}, - "source": [ - "The following code snippet was inspired by example from \n", - "[ds-aa-eth-drought/data-raw/download_ecmwf_seasonal_mars.py](https://github.com/OCHA-DAP/ds-aa-eth-drought/blob/ecmwf-mars/data-raw/download_ecmwf_seasonal_mars.py)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "6750e556-a31d-43bd-9f9c-ece41cf76c22", - "metadata": {}, - "outputs": [], - "source": [ - "buffer_aoi = 0.1\n", - "bounding_box = shapefile.total_bounds\n", - "bounding_box_str = \"/\".join(\n", - " [\n", - " str(round(coord, 1))\n", - " for coord in [\n", - " bounding_box[3] + buffer_aoi,\n", - " bounding_box[0] - buffer_aoi,\n", - " bounding_box[1] - buffer_aoi,\n", - " bounding_box[2] + buffer_aoi,\n", - " ]\n", - " ]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "2e22f07c-9814-4f58-87be-4ccb55e1c156", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'23.6/13.4/7.3/24.1'" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "bounding_box_str" - ] - }, - { - "cell_type": "markdown", - "id": "0f5c795c-e7cb-42b0-b1f3-5ef6937f8bdc", - "metadata": {}, - "source": [ - "Therofre, the Python code for Chad bounding box should be declared as\n", - "\n", - "```python\n", - "CHAD_BOUNDING_BOX: str = \"23.6/13.4/7.3/24.1\"\n", - "```\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e114b29d-d3d7-466e-89a0-7e3fc16f4d36", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -}