geography

问题 Contour lines (aka isolines) are curves that trace constant values across a 2D scalar field. For example, in a geographical map you might have contour lines to illustrate the elevation of the terrain by showing where the elevation is constant. In this case, let's store contour lines as lists of points on the map. Suppose you have map that has several contour lines at known elevations, and otherwise you know nothing about the elevations of the map. What algorithm would you use to fill in

问题 Background I want to add a model manager function that filters a queryset based on the proximity to coordinates. I found this blog posting with code that is doing precisely what I want. Code The snippet below seems to make use of geopy functions that have since been removed. It coarsely narrows down the queryset by limiting the range of latitude and longitude. # Prune down the set of all locations to something we can quickly check precisely rough_distance = geopy.distance.arc_degrees

问题 The Problem I have downloaded the Master Stations Names File from the UK's Rail Delivery group. I'm trying to map the dataset and would like to extract the locations. I tried using pyproj in my Python script, but the results are wrong. The "Eastings" and "Northings" they provide don't seem to fit the National Grid. For example: York station is given as "14596 64517". If these were epsg:27700, they would translate to -7.420284219986337 50.35401717940486, which is somewhere off the coast of

问题 I have an algorithm that computes shapes using geographic coordinates when certain conditions are satisfied. The algorithm outputs a latitude list and a longitude list like seen below. So lat[0] and lon[0] would represent a coordinate pair. I want to create a boolean array in the shape of a latitude and longitude map where the indices would be true if a corresponding coordinate point exists in the algorithm output. I have the original latitude and longitude information from the netcdf file,

问题 Run this in Snowflake to see that it returns an error. with a as ( select to_geography('MULTIPOLYGON (((-75.567446994279891 39.5086159918784 0 0, -75.562456 39.51265 0 0, -75.560317002808333 39.515950000160686 0 0, -75.561742999999993 39.520534 0 0, -75.565546 39.514849999999996 0 0, -75.567446994279891 39.5086159918784 0 0)), ((-75.571759009184774 39.623583997285259 0 0, -75.5712463122867 39.622342955203095 0 0, -75.567694 39.613744 0 0, -75.561934 39.605216 0 0, -75.555869991521988 39

问题 Run this in Snowflake to see that it returns an error. with a as ( select to_geography('MULTIPOLYGON (((-75.567446994279891 39.5086159918784 0 0, -75.562456 39.51265 0 0, -75.560317002808333 39.515950000160686 0 0, -75.561742999999993 39.520534 0 0, -75.565546 39.514849999999996 0 0, -75.567446994279891 39.5086159918784 0 0)), ((-75.571759009184774 39.623583997285259 0 0, -75.5712463122867 39.622342955203095 0 0, -75.567694 39.613744 0 0, -75.561934 39.605216 0 0, -75.555869991521988 39

来源： https://stackoverflow.com/questions/34715002/how-to-validated-geography-polygon-in-sql-server-2008

来源： https://stackoverflow.com/questions/53412785/plotting-pandas-csv-data-onto-cartopy-map

问题 I use Python 3 (I also have Python 2 installed) and I want to extract countries or cities from a short text. For example, text = "I live in Spain" or text = "United States (New York), United Kingdom (London)" . The answer for countries: Spain [United States, United Kingdom] I tried to install geography but I am unable to run pip install geography . I get this error: Collecting geography Could not find a version that satisfies the requirement geography (from versions: ) No matching

问题 I try to find the name of a country through the name of a city. pycountry did the work for me! import pycountry pycountry.countries.search_fuzzy('beja') Out[5]: [Country(alpha_2='PT', alpha_3='PRT', name='Portugal', numeric='620', official_name='Portuguese Republic'), Country(alpha_2='TN', alpha_3='TUN', name='Tunisia', numeric='788', official_name='Republic of Tunisia'), Country(alpha_2='DZ', alpha_3='DZA', name='Algeria', numeric='012', official_name="People's Democratic Republic of Algeria