Archive for the 'Google Maps' Category
Sustainable transportation in Canada: An example of Exhibit map view
In Statistics Canada census, there was the result of employed labor mode of transportation for different areas in Canada. Although the data is quite straightforward, it would be nice to have a ‘map’ view for this data which will allow us easy to see the distinction geographically. It turns out that this is an interesting topic for Google map mashup.
By using Exhibit 2.0, a Javascript library which makes creating interactive easily, all we left to do is dumping the raw csv data with the latitude and longitude of each location into proper json format. With geopy, simplejson and Python build in module csv, here is an implementation:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | import csv,re from geopy import geocoders import simplejson COLUMN = ["geocode","place_of_residence","total_Mode_of_transportation","car_truck_or_van_as_driver","car_truck_or_van_as_passenger","total_Sustainable_transportation","public_transit","walked","bicycle","other"] GMAPKEY="Google_Map_API_Key_here" def transformcsv2json(file,jsonfile='output.js'): reader = csv.reader(open(file)) column = COLUMN + ['city','province','latlng','label'] items=[] fc = 0 def getlatlng(place): # For some unknown reasons, sometimes gecoding fails several times before succeeds for i in range(25): try: g = geocoders.Google(GMAPKEY) place, (lat, lng) = g.geocode(place) latlng = str(lat) + ', ' + str(lng) return latlng except: print "|"*60,"Waring! ", place, " ", i, " times geocoding failed!" raise Exception for row in reader: city, province = mapLocationName(row[1]) if city and province: place = city + " " + province try: latlng = getlatlng(place) rowplus = row + [city, province, latlng, place] transItem = dict(zip(column,rowplus)) items.append(transItem) except: #We take a note of the place whcih fails in geocoding but still keeping on transforing next data row anyway. print "?"*60,"Error! ", place, " ", "geocoding failed!" fc += 1 print "#"*60, 'total number of geocoding fail: ', fc f = open(jsonfile,'w') f.write(simplejson.dumps({'items':items}, ensure_ascii=False)) f.close def mapLocationName(location): #Statistic Canada province abbreviation is different from google maps mapP = {'Alta.':'AB', 'B.C.':'BC', 'Man.':'MB','N.B.':'NB','N.L.':'NL','N.S.':'NS','N.W.T.':'NT','N.U.':'NU','Ont.':'ON','P.E.I.':'PE.','Que.':'QC','Sask.':'SK','Y.T.':'YT'} try: city, province = location.split(',') province = re.findall(r'\((.*)\)',province)[0] if re.search(r'\/',province): province = province.split('/')[0] province = mapP[province] except ValueError: city = location province = '' print 'Warning! ', location, ' parsing failed' return city,province if __name__ == '__main__': transformcsv2json('placeofresidence.csv','placeofresidence.js') |
Here is the result map mashup.
A map-content management system prototype
An idea cames to my mind while I was finding out direction to one of the Calgary public library branch: a map-content management system which let user input the address and other associated information ,and then it will display the location and other information in map “view”.
So Here are some screenshots for the map-content management system I built by Django and Google MAP.
Fig1. Admin Interface for adding data.
Fig 2.Data list view in Admin Interface
Fig 3. Locations and asscociated information shown in map
Rent a house by locations - A Google Maps Application
If you have ever thought about rent a place near locations you prefer to live, then using Google Maps API is a good idea. By spidering http://rentfaster.ca lists into a MySQL database using Python and then presenting it by Google Maps API and PHP, I made this webpage http://rentfaster.tekverse.com . The search results of Calgary houses/apartments/condos …etc for rent depending on your criteria will show up as markers in the Google Map.

Update: Since rentfaster.ca has changed ther web sites structure, so the spidering part is not wroking any more, that is, the database is out of date. Hopefully, I will have time to update the spidering part of this program in near future. Apr 23, 2006.


