Google maps - how to get building's polygon coordinates from address?

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执念已碎
执念已碎 2020-12-04 13:34

How to implement the following:

  1. User defines an address
  2. User defines a color
  3. Service searches for a corresponding building on the google m
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  • 2020-12-04 14:05

    (1) Acquire image tile

    original

    (2) Segment buildings based on pixel color (here, 0xF2EEE6).

    parsed

    (3) Image cleanup (e.g. erosion then dilation) + algorithm to acquire pixel coordinates of polygon corners.

    (4) Mercator projection to acquire lat/long of pixel

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  • 2020-12-04 14:07

    Might I humbly suggest you use OpenStreetMaps for this instead ?
    It's a lot easier, because then you can use the OverPass API.
    However, polygons might not match with google-maps or with state survey.
    The latter also holds true if you would use google-maps.

    // https://wiki.openstreetmap.org/wiki/Overpass_API/Overpass_QL
    private static string GetOqlBuildingQuery(int distance, decimal latitude, decimal longitude)
    {
        System.Globalization.NumberFormatInfo nfi = new System.Globalization.NumberFormatInfo()
        {
            NumberGroupSeparator = "",
            NumberDecimalSeparator = ".",
            CurrencyGroupSeparator = "",
            CurrencyDecimalSeparator = ".",
            CurrencySymbol = ""
        };
    
        // [out: json];
        // way(around:25, 47.360867, 8.534703)["building"];
        // out ids geom meta;
    
        string oqlQuery = @"[out:json];
    way(around:" + distance.ToString(nfi) + ", "
    + latitude.ToString(nfi) + ", " + longitude.ToString(nfi)
    + @")[""building""];
    out ids geom;"; // ohne meta - ist minimal
    
        return oqlQuery;
    }
    
    
    
    
    public static System.Collections.Generic.List<Wgs84Point> GetWgs84PolygonPoints(int distance, decimal latitude, decimal longitude)
    {
        string[] overpass_services = new string[] {
            "http://overpass.osm.ch/api/interpreter",
            "http://overpass.openstreetmap.fr/api/interpreter",
            "http://overpass-api.de/api/interpreter",
            "http://overpass.osm.rambler.ru/cgi/interpreter",
            // "https://overpass.osm.vi-di.fr/api/interpreter", // offline...
        };
    
        // string url = "http://overpass.osm.ch/api/interpreter";
        // string url = "http://overpass-api.de/api/interpreter";
        string url = overpass_services[s_rnd.Next(0, overpass_services.Length)];
    
    
        System.Collections.Specialized.NameValueCollection reqparm = new System.Collections.Specialized.NameValueCollection();
        reqparm.Add("data", GetOqlBuildingQuery(distance, latitude, longitude));
    
        string resp = PostRequest(url, reqparm);
        // System.IO.File.WriteAllText(@"D:\username\Documents\visual studio 2017\Projects\TestPlotly\TestSpatial\testResponse.json", resp, System.Text.Encoding.UTF8);
        // System.Console.WriteLine(resp);
        // string resp = System.IO.File.ReadAllText(@"D:\username\Documents\visual studio 2017\Projects\TestPlotly\TestSpatial\testResponse.json", System.Text.Encoding.UTF8);
    
        System.Collections.Generic.List<Wgs84Point> ls = null;
    
        Overpass.Building.BuildingInfo ro = Overpass.Building.BuildingInfo.FromJson(resp);
    
        if (ro != null && ro.Elements != null && ro.Elements.Count > 0 && ro.Elements[0].Geometry != null)
        {
            ls = new System.Collections.Generic.List<Wgs84Point>();
    
            for (int i = 0; i < ro.Elements[0].Geometry.Count; ++i)
            {
                ls.Add(new Wgs84Point(ro.Elements[0].Geometry[i].Latitude, ro.Elements[0].Geometry[i].Longitude, i));
            } // Next i 
    
        } // End if (ro != null && ro.Elements != null && ro.Elements.Count > 0 && ro.Elements[0].Geometry != null) 
    
    
        return ls;
    } // End Function GetWgs84Points 
    
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  • 2020-12-04 14:15

    I was intrigued on this problem and wrote a solution to it. See my github project.

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  • 2020-12-04 14:22

    You can convert the address to geographic coordinates by the use of the Google Geocoding API.

    https://maps.googleapis.com/maps/api/geocode/json?address=SOME_ADDRESS&key=YOUR_API_KEY
    

    Then, you can use Python and a styled static map to obtain the polygon of the building (in pixel coordinates) at some location:

    import numpy as np
    from requests.utils import quote
    from skimage.measure import find_contours, points_in_poly, approximate_polygon
    from skimage import io
    from skimage import color
    from threading import Thread
    
    center_latitude = None ##put latitude here 
    center_longitude = None ##put longitude here 
    mapZoom = str(20)
    midX = 300
    midY = 300
    # Styled google maps url showing only the buildings
    safeURL_Style = quote('feature:landscape.man_made|element:geometry.stroke|visibility:on|color:0xffffff|weight:1')
    urlBuildings = "http://maps.googleapis.com/maps/api/staticmap?center=" + str_Center + "&zoom=" + mapZoom + "&format=png32&sensor=false&size=" + str_Size + "&maptype=roadmap&style=visibility:off&style=" + safeURL_Style
    
    mainBuilding = None
    imgBuildings = io.imread(urlBuildings)
    gray_imgBuildings = color.rgb2gray(imgBuildings)
    # will create inverted binary image
    binary_imageBuildings = np.where(gray_imgBuildings > np.mean(gray_imgBuildings), 0.0, 1.0)
    contoursBuildings = find_contours(binary_imageBuildings, 0.1)
    
    for n, contourBuilding in enumerate(contoursBuildings):
        if (contourBuilding[0, 1] == contourBuilding[-1, 1]) and (contourBuilding[0, 0] == contourBuilding[-1, 0]):
            # check if it is inside any other polygon, so this will remove any additional elements
            isInside = False
            skipPoly = False
            for othersPolygon in contoursBuildings:
                isInside = points_in_poly(contourBuilding, othersPolygon)
                if all(isInside):
                    skipPoly = True
                    break
    
            if skipPoly == False:
                center_inside = points_in_poly(np.array([[midX, midY]]), contourBuilding)
                if center_inside:
            # approximate will generalize the polygon
                    mainBuilding = approximate_polygon(contourBuilding, tolerance=2)
    
    print(mainBuilding)
    

    Now, you can convert the pixel coordinates to latitude and longitude by the use of little JavaScript, and the Google Maps API:

    function point2LatLng(point, map) {
            var topRight = map.getProjection().fromLatLngToPoint(map.getBounds().getNorthEast());
            var bottomLeft = map.getProjection().fromLatLngToPoint(map.getBounds().getSouthWest());
            var scale = Math.pow(2, map.getZoom());
            var worldPoint = new google.maps.Point(point.x / scale + bottomLeft.x, point.y / scale + topRight.y);
            return map.getProjection().fromPointToLatLng(worldPoint);
    }
    
    var convertedPointsMain = [];
    
    for (var i = 0; i < pxlMainPolygons[p].length; i++) {
        var conv_point = {
            x: Math.round(pxlMainPolygons[p][i][1]),
            y: Math.round(pxlMainPolygons[p][i][0])
        }; 
        convertedPointsMain[i] = point2LatLng(conv_point, map);
    }
    
    console.log(convertedPointsMain);
    
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  • 2020-12-04 14:24

    The Google Maps API contains a GeocoderResults object that might be what you need. Specifically the data returned in the geometry field.

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  • 2020-12-04 14:30

    I've been working on this for hours, the closest I have come is finding a request uri that returns a result with a polygon in it. I believe it specifies the building(boundary) by editids parameter. We just need a way to get the current editids from a building(boundary).

    The URI I have is:

    https://www.google.com/mapmaker?hl=en&gw=40&output=jsonp&ll=38.934911%2C-92.329359&spn=0.016288%2C0.056477&z=14&mpnum=0&vpid=1354239392511&editids=nAlkfrzSpBMuVg-hSJ&xauth=YOUR_XAUTH_HERE&geowiki_client=mapmaker&hl=en
    

    Part of the result has what is needed:

    "polygon":[{"gnew":{"loop":[{"vertex":[{"lat_e7":389364691,"lng_e7":-923341133},{"lat_e7":389362067,"lng_e7":-923342783},{"lat_e7":389361075,"lng_e7":-923343356},{"lat_e7":389360594,"lng_e7":-923342477},
    
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