geocoding

I'm looking to take as series of co-ordinates stored in a pandas dataframe and define a function that will go through each entry, transform it (BNG Easting Northing to Lat and Long) and save it to a new column in same row. This function by Elise Huard looks like it should do just this def proj_transform(df): #bng = pyproj.Proj(init='epsg:27700') bng = pyproj.Proj("+init=EPSG:27700") #wgs84 = pyproj.Proj(init='epsg:4326') wgs84 = pyproj.Proj("+init=EPSG:4326") lats = pd.Series() lons = pd.Series() for idx, val in enumerate(df['Easting']): lon, lat = pyproj.transform(bng,wgs84,df['Easting'][idx]

There are lots of existing questions relating to this issue, but I have looked at as many of them as I could find and did not get an answer. I'm trying to perform an offline reverse geocoding lookup on iOS based on a latitude and longitude. I'd like to be able to provide a latitude and longitude, and be provided with the country in which that point lies. I can do this with Geonames (such as: http://api.geonames.org/countryCode?lat=45.03&lng=8.2&username=demo ), but I need a similar ability offline, without Internet functionality on the device. CLLocation does not provide offline services that

In my application am setting a default value to latitude and longitude . When i type the cityname in edittext i need to move that point to that place where i need Use the below code to get the lat and long of city name String location=cityName; String inputLine = ""; String result = "" location=location.replaceAll(" ", "%20"); String myUrl="http://maps.google.com/maps/geo?q="+location+"&output=csv"; try{ URL url=new URL(myUrl); URLConnection urlConnection=url.openConnection(); BufferedReader in = new BufferedReader(new InputStreamReader(urlConnection.getInputStream())); while ((inputLine = in

How to convert the Address into Latitude and Longitude in Objective C? I want to use Google Maps over there i iPhone. This is called Geocoding. If you are using Google Maps, they provide their own geocoding service . For a detailed explanation of doing this on the iPhone, with code examples, see this blog post by Björn Sållarp: iPad/iPhone forward geocoding API using Google gecoding service 来源： https://stackoverflow.com/questions/3387039/convert-the-address-into-latitude-and-longitude-for-google-maps-in-iphone

I make the user interface appear adding integration with facebook and enabling combining a search with a category and a location: This poses some problems to me not only with the facebook integration but also with locations. I don't fetch the locations from the datastore, I just put them in plain html: <select name="w" id="searcharea"> <option value="1" >Entire India</option> <option value="2" > Andaman & Nicobar Islands</option> <option value="3" > Andhra Pradesh</option> etc. We see that the option values make no sense: 1,2,3 has no meaning and I just put the numbers there. The records in

I am attempting to utilize the Census Bureau's batch geocoder ( http://geocoding.geo.census.gov/geocoder/Geocoding_Services_API.pdf ) with R. The input addresses are in a data frame, not a CSV. As the addresses are an intermediate step, I do not want to write them to a CSV. I have read several postings on stackoverflow. Hadley's solution ( Posting to and Receiving data from API using httr in R ) illustrates how to upload an existing CSV file. MrFlick's solution ( Uploading a csv to an api in R ) seems close to what I want but uses a string, not a data frame. Here's what I have in the way of

I am doing some initial research this and I know very little about the subject. I need to create a solution that can take an address and then determine if that address is within some predefined boundaries (probably a series of connected streets). Does anybody have some advice on where to get started? First you need to geocode the address ( http://code.google.com/apis/maps/documentation/geocoding/ ), then you can use my point in polygon library to check if it is in the bounds. Check it out here: http://blog.appdelegateinc.com/point-in-polygon-checking-with-google-maps.html Update: Check out the