coordinates

问题 first of all thanks for your help. I'm making a form with Django which uses the OSMWidget to save coordinates (Polygons, Lines and Points) to a Geometry field in a PostgreSQL database. It works well, I can save the information in the database without any problem. And when I make a query with PgAdmin I can see the geometric fields data displayed in a Leaflet map correctly. . Here's some of what I have in my forms.py: from django import forms from django_select2 import forms as select2_forms

问题 first of all thanks for your help. I'm making a form with Django which uses the OSMWidget to save coordinates (Polygons, Lines and Points) to a Geometry field in a PostgreSQL database. It works well, I can save the information in the database without any problem. And when I make a query with PgAdmin I can see the geometric fields data displayed in a Leaflet map correctly. . Here's some of what I have in my forms.py: from django import forms from django_select2 import forms as select2_forms

问题 I am using Leaflet 1.0.3 and a few plugins including Leaflet.ajax. My L.geo.ajax call is working and returning geojson objects, however, the coordinates are reversed. I created a function to fix this: var convertLatLng = function (latlng) { var temp = latlng[y]; latlng[y] = latlng[x]; latlng[x] = temp; convertedLatLng = latlng; return convertedLatLng; console.log('this function is running') } But my problem is I don't know where to put it. Do I run it inside my geoJson call? If so, where?

问题 I'm using Tensorflow object detection API code. I trained my model and got great detection percentages. I have been trying to get the bounding boxes coordinates but it keeps on printing out a list of 100 bizarre arrays. after a wide search online I found out what the numbers in the arrays meant (The bounding box coordinates are floats in [0.0, 1.0] relative to the width and height of the underlying image.) But still, my arrays are very different than the ones shown in examples online. Another

问题 I used this to be able to view one address at a time. Convert address to coordinates swift However, I would like to view an array of addresses (131) and their respective coordinates Here is my code: func convertAddressToCoordinates() { for address in addresses { geocoder.geocodeAddressString(address) { placemarks, error in let placemark = placemarks?.first let lat = placemark?.location!.coordinate.latitude let lon = placemark?.location!.coordinate.longitude print("\(address): Lat: \(lat!),

问题 I am trying to find the shortest way to get from one point in a 2D array (one coordinate with x and y values representing its position in the array) to another. I would like to output an array of coordinates which must be travelled through to get from the initial to the final coordinates. One example of an array like this could be arr = [ [15, 7, 3], [1, 2, 6], [7, 4, 67] ] In this case, we can say that we will begin at arr[0][0] and end at arr[2][2] . Thus, the coordinates would be (0, 0)

问题 I have a known point (centre) with known latitude and longitude and I have some coordinates (in lat/lon) in a df and I want to see which ones are within a radius of 5km or less from the centre point. Centre mylon <- c(-2.106472) mylat <- c(57.14455) Coordinates longitude latitude [1,] -2.141177 57.16278 [2,] -2.090960 57.18079 [3,] -2.118894 57.12292 [4,] -2.140090 57.13763 [5,] -2.113988 57.13855 [6,] -2.123892 57.13585 [7,] -2.144685 57.17207 [8,] -2.220046 57.19150 [9,] -2.114343 57.09301

问题 I have a known point (centre) with known latitude and longitude and I have some coordinates (in lat/lon) in a df and I want to see which ones are within a radius of 5km or less from the centre point. Centre mylon <- c(-2.106472) mylat <- c(57.14455) Coordinates longitude latitude [1,] -2.141177 57.16278 [2,] -2.090960 57.18079 [3,] -2.118894 57.12292 [4,] -2.140090 57.13763 [5,] -2.113988 57.13855 [6,] -2.123892 57.13585 [7,] -2.144685 57.17207 [8,] -2.220046 57.19150 [9,] -2.114343 57.09301

问题 I have a known point (centre) with known latitude and longitude and I have some coordinates (in lat/lon) in a df and I want to see which ones are within a radius of 5km or less from the centre point. Centre mylon <- c(-2.106472) mylat <- c(57.14455) Coordinates longitude latitude [1,] -2.141177 57.16278 [2,] -2.090960 57.18079 [3,] -2.118894 57.12292 [4,] -2.140090 57.13763 [5,] -2.113988 57.13855 [6,] -2.123892 57.13585 [7,] -2.144685 57.17207 [8,] -2.220046 57.19150 [9,] -2.114343 57.09301

问题 I have a raster with XY pixel coordinates which I want to convert to lat and long. class : RasterLayer dimensions : 1617, 1596, 2580732 (nrow, ncol, ncell) resolution : 1, 1 (x, y) extent : 0, 1596, 0, 1617 (xmin, xmax, ymin, ymax) coord. ref. : NA data source : C:\janW1.png names : janW1 values : 0, 255 (min, max) I have calculated the lat/long coords using the formula specified here. This has resulted in the following dataframe heads(cords) lat lon x y janW1 1 46.99401 -14.99122 0.5 1616.5