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177fb24
feat: merge 3 altitudinal zones hochmontan into single zone and extra…
friedjoff Mar 13, 2020
be4a4da
fix: remove duplicate forest ecoregion
friedjoff Mar 13, 2020
6d7cdd1
feat: return options for locate result
friedjoff Mar 13, 2020
ee78f99
chore(deps): [security] bump acorn from 5.7.3 to 5.7.4 (#157)
dependabot-preview[bot] Mar 15, 2020
987589f
feat: add ecogram data and transformation scripts (#149)
edellucien Mar 16, 2020
51421f8
chore(deps-dev): bump netlify-cli from 2.37.0 to 2.39.0 (#158)
dependabot-preview[bot] Mar 16, 2020
f910c25
chore(release): 1.2.0 [skip ci]
semantic-release-bot Mar 16, 2020
89012e2
fix: match altitudinal zone 70 with source data
friedjoff Mar 21, 2020
26db797
fix: do not return empty array for missing projections
friedjoff Mar 21, 2020
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8 changes: 8 additions & 0 deletions CHANGELOG.md
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# [1.2.0](https://github.com/geops/tree-lib/compare/v1.1.0...v1.2.0) (2020-03-16)


### Features

* add ecogram data and transformation scripts ([#149](https://github.com/geops/tree-lib/issues/149)) ([eb09799](https://github.com/geops/tree-lib/commit/eb09799e42c07b8f96c299b879b6b745f5a92809))
* return options for locate result ([2996755](https://github.com/geops/tree-lib/commit/2996755af15b00c01c6505f587ef1d61b05c21f6))

# [1.1.0](https://github.com/geops/tree-lib/compare/v1.0.0...v1.1.0) (2020-03-10)


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557 changes: 555 additions & 2 deletions data/ecograms.json
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12 changes: 9 additions & 3 deletions data/locations.json
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{
"M": { "20": "1" },
"J": { "20": "1" },
"1": { "20": "1" }
"1": { "20": 11, "40": 25, "50": 27, "60": 2, "81": 5, "90": 14, "100": 18 },
"3": { "83": 9, "90": 14, "100": 19 },
"4": { "20": 21, "82": 10, "83": 12, "90": 15, "100": 16 },
"2a": { "40": 26, "50": 1, "60": 3, "81": 6 },
"M": { "20": 11, "40": 25, "50": 27, "60": 2, "81": 5, "90": 14, "100": 18 },
"J": { "20": 11, "40": 25, "50": 27, "60": 2, "81": 5, "90": 14, "100": 18 },
"5b": { "10": 23, "20": 22, "30": 22, "70": 4 },
"2b": { "20": 20, "82": 7, "83": 8 },
"5a": { "81": 13 }
}
135 changes: 135 additions & 0 deletions data/nais/ecogram.js
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/* eslint-disable no-console */
/* eslint-disable import/no-extraneous-dependencies */
const path = require('path');
const fs = require('fs');

const types = require('../types.json');

console.log(`
This script reads all geojson files in /data/nais/geojson/ and aggregate them
into two files: /data/nais/ecograms.json & /data/nais/locations.json
`);

const abortScript = alert => {
console.log(alert);
process.exit(1);
};

const getCoords = (coordinates, coordIdx, index) => {
const filteredCoords = coordinates.map(c => c[coordIdx].toFixed(3));

const coordsArray = [];
filteredCoords.forEach(f => {
if (!coordsArray.includes(f)) {
coordsArray.push(f);
}
});

return coordsArray[index] < 0 ? 0 : coordsArray[index];
};

const aggregateGeojson = (dir, geojsonFiles) => {
const newEcogramsJson = {};
const newLocationsJson = {};

geojsonFiles.forEach((filename, gIdx) => {
const geojsonIdx = gIdx + 1;
const { ext, name } = path.parse(filename);
const filepath = path.resolve(dir, filename);
console.log(` Start formating ${name}${ext}`);
const rawdata = fs.readFileSync(filepath);
const geojson = JSON.parse(rawdata);

const { forestEcoR, altZones } = geojson.features[0].properties;

if (!altZones) {
abortScript(`
/!\\ 'altZones' property not present or badly formated
in at least the first feature, to be converted to 'altitudinalZones' !
`);
}
const altitudinalZones = {};
altZones.split(',').forEach(zone => {
const type = types.altitudinalZone.find(t => t.code === zone);
if (!type) {
console.log(`Altitudinal zone ${zone} not found! Skipping ...`);
return;
}
altitudinalZones[zone] = geojsonIdx;
});

if (!forestEcoR) {
abortScript(`
/!\\ 'forestEcoR' property not present or badly formated
in at least the first feature, to be converted to 'forestEcoregions' !
`);
}
forestEcoR.split(',').forEach(region => {
const type = types.forestEcoregion.find(t => t.code === region);
if (!type) {
console.log(`Forest ecoregion ${region} not found! Skipping ...`);
return;
}

if (!newLocationsJson[region]) {
newLocationsJson[region] = altitudinalZones;
} else {
const keys = Object.keys(altitudinalZones);
keys.forEach(k => {
newLocationsJson[region][k] = altitudinalZones[k];
});
}
});

const features = [];
geojson.features.forEach(f => {
const { z, forTypes, otforTypes } = f.properties;
const { coordinates } = f.geometry;
const [coords] = coordinates[0];
// Remove last coord, which is the same as the first one.
coords.splice(coords.length - 1, coords.length);

const x1 = getCoords(coords, 0, 0);
const x2 = getCoords(coords, 0, 1);
const y1 = getCoords(coords, 1, 0);
const y2 = getCoords(coords, 1, 1);

const fT = forTypes ? forTypes.split(',') : [];
const oT = otforTypes ? otforTypes.split(',') : [];

features.push({
x: x1 * 1000,
y: 1000 - y1 * 1000 - (1000 - y1 * 1000 - (1000 - y2 * 1000)),
w: x2 * 1000 - x1 * 1000,
h: 1000 - y1 * 1000 - (1000 - y2 * 1000),
z,
f: [...fT, ...oT],
});
});

newEcogramsJson[geojsonIdx] = features;
});
const outputDirectory = path.join(__dirname, `../`);
// If no outputs folder, create it.
if (!fs.existsSync(outputDirectory)) {
fs.mkdirSync(outputDirectory);
}

fs.writeFileSync(
`${outputDirectory}/ecograms.json`,
JSON.stringify(newEcogramsJson),
);
fs.writeFileSync(
`${outputDirectory}/locations.json`,
JSON.stringify(newLocationsJson),
);

console.log(`
Building ecograms.json & locations.json successfuly!
`);
};

const geojsonFiles = fs
.readdirSync('data/nais/geojson/')
.filter(fileName => /.geojson/.test(fileName));
aggregateGeojson('data/nais/geojson/', geojsonFiles);
32 changes: 32 additions & 0 deletions data/nais/geojson/10_Reg_2a_Alt_50.geojson
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{
"type": "FeatureCollection",
"name": "10_",
"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:OGC:1.3:CRS84" } },
"features": [
{ "type": "Feature", "properties": { "id": 1, "z": "1", "forTypes": "45", "otForTypes": null, "forestEcoR": "2a", "altZones": "50" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 0.047403916308526, 0.020413552457389 ], [ 0.047403916308526, 0.136279092359486 ], [ 0.17643568556195, 0.136279092359486 ], [ 0.17643568556195, 0.020413552457389 ], [ 0.047403916308526, 0.020413552457389 ] ] ] ] } },
{ "type": "Feature", "properties": { "id": 2, "z": "1", "forTypes": "44", "otForTypes": null, "forestEcoR": "2a", "altZones": "50" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 0.442407258201666, 0.0032813075421 ], [ 0.442407258201666, 0.058595844377107 ], [ 0.784730245598165, 0.058595844377107 ], [ 0.784730245598165, 0.0032813075421 ], [ 0.442407258201666, 0.0032813075421 ] ] ] ] } },
{ "type": "Feature", "properties": { "id": 3, "z": "2", "forTypes": "30", "otForTypes": null, "forestEcoR": "2a", "altZones": "50" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 0.467417541006003, 0.069131110499162 ], [ 0.467417541006003, 0.132539146047727 ], [ 0.595196052560324, 0.132539146047727 ], [ 0.595196052560324, 0.069131110499162 ], [ 0.467417541006003, 0.069131110499162 ] ] ] ] } },
{ "type": "Feature", "properties": { "id": 4, "z": "1", "forTypes": "27", "otForTypes": null, "forestEcoR": "2a", "altZones": "50" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 0.43976795455338, 0.062565225373305 ], [ 0.43976795455338, 0.133646172058208 ], [ 0.891375305957907, 0.133646172058208 ], [ 0.891375305957907, 0.062565225373305 ], [ 0.43976795455338, 0.062565225373305 ] ] ] ] } },
{ "type": "Feature", "properties": { "id": 5, "z": "1", "forTypes": "26", "otForTypes": null, "forestEcoR": "2a", "altZones": "50" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 0.441081570547974, 0.140229067249161 ], [ 0.441081570547974, 0.219231217149584 ], [ 0.891379009762403, 0.219231217149584 ], [ 0.891379009762403, 0.140229067249161 ], [ 0.441081570547974, 0.140229067249161 ] ] ] ] } },
{ "type": "Feature", "properties": { "id": 6, "z": "1", "forTypes": "12S", "otForTypes": null, "forestEcoR": "2a", "altZones": "50" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 0.725483137182005, 0.257413737699208 ], [ 0.725483137182005, 0.420670032275432 ], [ 0.884796114571451, 0.420670032275432 ], [ 0.884796114571451, 0.257413737699208 ], [ 0.725483137182005, 0.257413737699208 ] ] ] ] } },
{ "type": "Feature", "properties": { "id": 7, "z": "1", "forTypes": "8S", "otForTypes": null, "forestEcoR": "2a", "altZones": "50" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 0.43450052725927, 0.257411295096198 ], [ 0.43450052725927, 0.420675587982177 ], [ 0.593815450969653, 0.420675587982177 ], [ 0.593815450969653, 0.257411295096198 ], [ 0.43450052725927, 0.257411295096198 ] ] ] ] } },
{ "type": "Feature", "properties": { "id": 8, "z": "2", "forTypes": "8b", "otForTypes": null, "forestEcoR": "2a", "altZones": "50" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 0.258068684024928, 0.281111150656556 ], [ 0.258068684024928, 0.395660044263127 ], [ 0.387100686606665, 0.395660044263127 ], [ 0.387100686606665, 0.281111150656556 ], [ 0.258068684024928, 0.281111150656556 ] ] ] ] } },
{ "type": "Feature", "properties": { "id": 9, "z": "1", "forTypes": "4", "otForTypes": null, "forestEcoR": "2a", "altZones": "50" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 0.135620600846933, 0.274528549648066 ], [ 0.135620600846933, 0.46285105731441 ], [ 0.288338233341486, 0.46285105731441 ], [ 0.288338233341486, 0.274528549648066 ], [ 0.135620600846933, 0.274528549648066 ] ] ] ] } },
{ "type": "Feature", "properties": { "id": 10, "z": "2", "forTypes": "8*", "otForTypes": null, "forestEcoR": "2a", "altZones": "50" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 0.044770423446796, 0.290327118005045 ], [ 0.044770423446796, 0.498359176923487 ], [ 0.192235239655684, 0.498359176923487 ], [ 0.192235239655684, 0.290327118005045 ], [ 0.044770423446796, 0.290327118005045 ] ] ] ] } },
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{ "type": "Feature", "properties": { "id": 25, "z": "2", "forTypes": "65", "otForTypes": null, "forestEcoR": "2a", "altZones": "50" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 0.725487578934206, 0.861762039495394 ], [ 0.725487578934206, 0.957871076917628 ], [ 0.854526406070832, 0.957871076917628 ], [ 0.854526406070832, 0.861762039495394 ], [ 0.725487578934206, 0.861762039495394 ] ] ] ] } }
]
}
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