WGS84 के साथ जियोजेन्स पॉलीगन्स को मर्ज करें


9

मेरे पास कुछ आसन्न बहुभुजों के साथ एक जियोजोन फ़ाइल है और मैं उन्हें एक में मिलाना चाहता हूं। मुझे पता है कि यह एक आवर्तक प्रश्न है, लेकिन मैं इस भूगोल में अक्षांश और देशांतर निर्देशांक वाले बहुभुजों के लिए जानकारी नहीं पा सकता हूं:

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}, {
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}

कच्चे बहुभुज

क्या सभी बहुभुजों के बाहरी रूप के साथ एक मास्टर बहुभुज बनाने का एक तरीका है?

जवाबों:


13

आप इसके लिए Mapshaper का उपयोग कर सकते हैं , और फिर कमांड लाइन से भंग कर सकते हैं :

mapshaper --dissolve -i your_data.geojson

2
महान उपकरण। आप वाक्यविन्यास त्रुटियों मिलता है, ऐसा लगता है जैसे की कोशिशmapshaper -i your_data.geojson --dissolve
केली हॉचकिस

महान टिप @KyleHotchkiss, धन्यवाद
रिकार्डो Mayerhofer

4

QGis के साथ करना आसान है।

  1. QGis खोलें
  2. जियोजेन फ़ाइल को क्यूजीस पर खींचें और छोड़ें
  3. वेक्टर मेनू में "भंग" टूल का उपयोग करें (यह एक सबमेनू के अंदर है)। ड्रॉपडाउन से "सभी को भंग" विकल्प का उपयोग करें
  4. यह एक आकृति बनाएगा (बॉक्स को मैप में आउटपुट के लिए जांचें)
  5. जिसे आप फिर से लेयर पैन में राइट-क्लिक करके "सेव एज़" और फिर जियोजोन को फॉर्मेट के रूप में राइट-क्लिक करके जियोजोन फाइल के रूप में सेव कर सकते हैं।

"भंग" उस ऑपरेशन का नाम है जिसे आप चाहते हैं। यह alsio आपको आगे बढ़ने के लिए संकेत दे सकता है।


1
धन्यवाद til_b आपके प्रस्ताव के लिए, मैं एक जयराम का उपयोग करता हूं, लेकिन तुम्हारा बहुत अच्छा दिखता है, लेकिन कम स्केलेबल है
हेनरी_1310

हाँ यह कम स्केलेबल है। Maphaper के बारे में पहले नहीं पता था - इसलिए मैंने नया सामान भी सीखा!
til_b

मुझे भंग करने वाले टूल की ओर इशारा करने के लिए धन्यवाद। मैंने आपके चरणों का पालन किया और मुझे लगभग वही मिला जो मैं चाहता था, नीचे त्रुटि के अलावा। यह उस परत को आउटपुट करता है जिसे मैं चाहता था, फीचर 44 को छोड़कर। कैसे अवैध है यह जानने के लिए कोई सुझाव? त्रुटि संदेश: फ़ीचर (44) में अमान्य ज्यामिति है और इसे छोड़ दिया गया है। कृपया ज्यामिति को ठीक करें या प्रसंस्करण सेटिंग को "अमान्य इनपुट सुविधाओं को अनदेखा करें" विकल्प में बदलें।
कारपिडिएम

1
समझ गया। टूलबॉक्स> वेक्टर ज्यामिति> ज्यामिति को ठीक करें
कार्पिडिएम

2

यदि कोई एल्गोरिथम करना चाहता है, तो यहां एक अजगर स्निपेट है:

#!/usr/bin/env python

from json import load, JSONEncoder
from argparse import ArgumentParser, FileType
from re import compile
import sys

from shapely.geometry import Polygon, mapping
from shapely.ops import cascaded_union


parser = ArgumentParser(description="Group (merge) the GeoJSON geometries of same vehicles with different day index.")

defaults = dict(outfile=sys.stdout)

parser.set_defaults(**defaults)

parser.add_argument('infile', type=FileType('r'), help='GeoJSON file whose vehicles will be merged')

parser.add_argument('-o', '--outfile', dest='outfile', type=FileType('wb', 0), help='Outfile')


if __name__ == '__main__':
    args = parser.parse_args()
    infile = args.infile
    outfile = args.outfile

    file = load(infile)

    polygons = []

    for feat in file['features']:
        polygon = Polygon([ (coor[0], coor[1]) for coor in  feat['geometry']['coordinates'][0] ])
        polygons.append(polygon)

    new_geometry = mapping(cascaded_union(polygons)) # This line merges the polygones

    new_feature = dict(type='Feature', id="", properties=dict(Name=""),geometry=dict(type=new_geometry['type'], coordinates=new_geometry['coordinates']))

    outjson = dict(type='FeatureCollection', features=[new_feature])

    encoder = JSONEncoder(separators=(',', ':'))
    encoded = encoder.iterencode(outjson)

    output = outfile

    for token in encoded:
        output.write(token)

जो उपरोक्त इनपुट के लिए निम्न आउटपुट देता है

छवि

{
  "type": "FeatureCollection",
  "features": [
    {
      "type": "Feature",
      "id": "",
      "properties": {
        "Name": ""
      },
      "geometry": {
        "type": "Polygon",
        "coordinates": [
          [
            [
              1.7780400297013,
              48.832305931728
            ],
            [
              1.7734339848429,
              48.83177307884
            ],
            [
              1.7611156919393,
              48.841036344684
            ],
            [
              1.7400314884878,
              48.837820948808
            ],
            [
              1.7329083268502,
              48.84610157804
            ],
            [
              1.7189195066054,
              48.848587971564
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