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Polygon on Bing Map using Local GeoJSON Object results in wrong location


Polygon on Bing Map using Local GeoJSON Object results in wrong location

By : Nhlamulo Mitileng
Date : October 21 2020, 08:10 AM
This might help you Bing Maps Locations take in latitude,longitude, while GeoJSON positions/coordinates are longitude/latitude. Reverse the numbers in your GeoJSON coordinates.
code :


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How can I filter Bing Location API results by user location for auto complete?

How can I filter Bing Location API results by user location for auto complete?


By : SANTOSH KUMAR SHARMA
Date : March 29 2020, 07:55 AM
Hope that helps As it turns out, this will actually do what I intended (Unless testing proves otherwise) I was specifying the address as a single param, q, but if I specify addressLine in combination with userLocation, it filters the results as expected.
code :
var geolocate = function(options) {
    $.ajax({
        url: "http://dev.virtualearth.net/REST/v1/Locations",
        dataType: "jsonp",
        data: {
            key: "KEY",
            addressLine: options.address,
            countryRegion: 'US',
            userLocation: options.latitude + ',' + options.longitude,
            maxResults: options.maxResults,
        },
        jsonp: "jsonp",
        success: function(data) {
            if (options.success instanceof Function) {
                options.success(data);
            }
        },
        error: function(xhr, status, text) {
            alert('ERROR:\n\n');
        }
    });
};
Bing map need to display location border polygon based on city and zip code for DK

Bing map need to display location border polygon based on city and zip code for DK


By : arturo govea
Date : March 29 2020, 07:55 AM
hope this fix your issue Looking around I can't find any mapping platform that can find "1011 København K, DK". It is either a very new address or invalid one.
Is there a Bing Maps API description how Bing transforms GeoJSON properties?

Is there a Bing Maps API description how Bing transforms GeoJSON properties?


By : Karel Topinka
Date : March 29 2020, 07:55 AM
Hope this helps All properties of GeoJSON objects are added to the metadata property of the resulting Bing Maps shape. For example pushpin.metadata = { /*GeoJSON info */}
The callback for the GeoJSON module returns an array of shapes, so you would need to loop through each one to access each shapes individual metadata if you wanted it.
code :
{
    "type": "FeatureCollection",
    "features": [
      {
          "type": "Feature",
          "geometry": {
              "type": "Point",
              "coordinates": [-74.006393, 40.714172]
          },
          "properties": {
              "color": "red",
              "title": "New York"
          }
      }
    ]
}
Bing custom search apis returning only limited results from one location and full result from different location

Bing custom search apis returning only limited results from one location and full result from different location


By : Victor Rocha
Date : March 29 2020, 07:55 AM
this one helps. I got the reason of this behavior. Actually it had nothing to do with region/country/market. After looking into the response i got this message. "Rate limit is exceeded. Try again in 1 seconds" It means for after each call in the loop i have to wait for 1 second to give next call. Now need to know is this limit for trial subscription or this is kept for all calls to prevent DDOS attack or something. May be from India it was working because may one iteraction is already taking one or more second.
Is there an R function for checking if a specified GeoJSON object(polygon or multi-polygon) contains the specified point

Is there an R function for checking if a specified GeoJSON object(polygon or multi-polygon) contains the specified point


By : Selvi G
Date : March 29 2020, 07:55 AM
Does that help I have an array of point , you can use lawn pkg, e.g.,
code :
x <- '{
"Sheet1": [
  {
    "CoM ID": "1040614",
    "Genus": "Washingtonia",
    "Year Planted": "1998",
    "Latitude": "-37.81387927",
    "Longitude": "144.9817733"
  },
  {
    "CoM ID": "1663526",
    "Genus": "Banksia",
    "Year Planted": "2017",
    "Latitude": "-37.79582801",
    "Longitude": "144.9160598"
  },
  {
    "CoM ID": "1031170",
    "Genus": "Melaleuca",
    "Year Planted": "1997",
    "Latitude": "-37.82326441",
    "Longitude": "144.9305296"
  }
]
}'

feature1 <- '{"type":"Feature","id":"01","properties":{"name":"Alabama","density":94.65},"geometry":{"type":"Polygon","coordinates":[[[-87.359296,35.00118],[-85.606675,34.984749],[-85.431413,34.124869],[-85.184951,32.859696],[-85.069935,32.580372],[-84.960397,32.421541],[-85.004212,32.322956],[-84.889196,32.262709],[-85.058981,32.13674],[-85.053504,32.01077],[-85.141136,31.840985],[-85.042551,31.539753],[-85.113751,31.27686],[-85.004212,31.003013],[-85.497137,30.997536],[-87.600282,30.997536],[-87.633143,30.86609],[-87.408589,30.674397],[-87.446927,30.510088],[-87.37025,30.427934],[-87.518128,30.280057],[-87.655051,30.247195],[-87.90699,30.411504],[-87.934375,30.657966],[-88.011052,30.685351],[-88.10416,30.499135],[-88.137022,30.318396],[-88.394438,30.367688],[-88.471115,31.895754],[-88.241084,33.796253],[-88.098683,34.891641],[-88.202745,34.995703],[-87.359296,35.00118]]]}}'
lawn_boolean_contains(as.feature(feature1), lawn_point('[144.9817733,-37.81387927]'))
#> FALSE
apply(jsonlite::fromJSON(x)$Sheet1, 1, function(z) {
  lawn_boolean_contains(
    as.feature(feature1), 
    lawn_point(sprintf("[%s,%s]", z['Longitude'], z['Latitude']))
)
})
#>     1     2     3
#> FALSE FALSE FALSE
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