andrewljohnson

import boto3

def download_naips(self):
    s3_client = boto3.client('s3')
    filename = 'm_3807708_ne_18_1_20130924.tif'
    s3_client.download_file('aws-naip', 'md/2013/1m/rgbir/38077/{}'.format(filename), filename, {'RequestPayer':'requester'})

andrewljohnson

#!/usr/bin/env python
###############################################################################
# $Id$
#
# Project:  GDAL2Tiles, Google Summer of Code 2007 & 2008
#           Global Map Tiles Classes
# Purpose:  Convert a raster into TMS tiles, create KML SuperOverlay EPSG:4326,
#           generate a simple HTML viewers based on Google Maps and OpenLayers
# Author:   Klokan Petr Pridal, klokan at klokan dot cz
# Web:      http://www.klokan.cz/projects/gdal2tiles/

andrewljohnson

#!/usr/local/bin/python

import sys
import urllib

'''
  make a URL that imports a TMS map source into Gaia GPS

  example

andrewljohnson

on run {input, parameters}
	tell application "Terminal"
		set currentTab to do script ("ps ax | grep jekyll | grep -v grep | awk '{ print $1 }' | xargs kill") in front window
		set currentTab to do script ("jekyll serve --detach;") in front window
	end tell
	
	tell application "Google Chrome"
		activate
		set theUrl to "http://0.0.0.0:4000/"
		

andrewljohnson

    double latitude = self.mapView.mapCenter.latitude;
    metersPerPixel *= cos(latitude * (M_PI / 180));
    double metersPerUnit = 1609.344;
    int numberOfUnits = 1;
    NSString *unitName = MILES_UNIT_STRING;
    if (metersPerPixel < (1000/maxScaleSize)) {
      unitName = METERS_UNIT_STRING;
      metersPerUnit = 1;
    } else {
      unitName = KILOMETERS_UNIT_STRING;

andrewljohnson

def get_point_photos(request, lat, lon, name):
  '''takes a lat lon pair via an ajax request, and returns a list of photos'''
  #create a Flickr API object
  f = flickrapi.FlickrAPI(api_key) 
  #resolve a (lat,long) to a "Flickr Place" which can be used to search for photos.
  place = f.places_findByLatLon(api_key = api_key, lat=lat, lon = lon)
  #get the id of the Flickr Place returned
  place_id = place.find('places').findall('place')[0].attrib['place_id']
  #returns an XML response that contains data to construct photo URLs
  flickr_search = f.photos_search(api_key = api_key, place_id = place_id, content_type = '1', tags = 'nature, landscape, hiking, outdoors,