def test_las_100points(self):
'''Test creating pointcloud feature'''
filename = os.path.join(utils.data_folder, '100-points.las')
scene = Scene()
feature_layer = scene.create_layer('feature')
pointcloud = feature_layer.create_feature('pointcloud', data=filename)
self.assertEqual(pointcloud.get_point_count(), 100)
self.assertEqual(pointcloud.get_point_data_record_formats(), {3: 100})
self.assertEqual(pointcloud.get_point_count_by_return(),
(89, 10, 1, 0, 0))
self.assertIsNone(pointcloud.get_wkt_string())
bounds = pointcloud.get_bounds()
min_x = 635717.85
max_z = 530.61
self.assertAlmostEqual(bounds[0], min_x)
self.assertAlmostEqual(bounds[5], max_z)
# atts = pointcloud.get_point_attributes()
# print(atts)
display_model = scene._build_display_model()
utils.write_model(display_model, 'pointcloud-100_model.json')
utils.validate_model(display_model)
# data should contain "data" field
layers = display_model.get('layers', {})
features = layers[0].get('features')
feature = features[0]
self.assertIsNotNone(feature)
self.assertTrue('data' in feature)
def test_shpfile_features(self):
'''Test creating geojson feature from shp file'''
scene = Scene()
osm_layer = scene.create_layer('osm')
feature_layer = scene.create_layer('feature', features=['polygon'])
filename = os.path.join(utils.data_folder, 'polygons.shp')
feature = feature_layer.create_feature('polygon', filename)
display_model = scene._build_display_model()
utils.validate_model(display_model)
utils.write_model(display_model, 'shpfile_model.json')
def test_basic_model(self):
'''Test creating simple map with osm and feature layer'''
scene = Scene(zoom=10) # pass in option to constructor
scene.center = {'x': -73, 'y': 42.5} # set option as public member
osm_layer = scene.create_layer('osm')
feature_layer = scene.create_layer('feature')
display_model = scene._build_display_model()
#print(display_model)
utils.validate_model(display_model)
self.assertIsInstance(display_model, dict)
self.assertTrue('options' in display_model)
self.assertTrue('layers' in display_model)
utils.write_model(display_model, 'basic_model.json')
def test_utm_image(self):
filename = os.path.join(utils.data_folder, 'utm.tif')
scene = Scene()
scene.center = {
'x': -74.5,
'y': 6.0
}
scene.zoom = 10
scene.create_layer('osm')
feature_layer = scene.create_layer('feature', features=['quad.image'])
quad = feature_layer.create_feature('raster', data=filename)
quad.style = {'opacity': 0.8}
display_model = scene._build_display_model()
#print(display_model)
# Write display model (don't need to validate again)
utils.write_model(display_model, 'raster-utm_model.json')
def test_rgb_image(self):
'''Test creating raster feature'''
filename = os.path.join(utils.data_folder, 'rasterwithpalette.tif')
scene = Scene()
# scene.center = {'x': -76.5, 'y': 43.0};
# scene.zoom = 7;
scene.create_layer('osm')
feature_layer = scene.create_layer('feature', features=['quad.image'])
quad = feature_layer.create_feature('raster', data=filename)
quad.style = {'opacity': 0.5}
corners = quad.get_corner_points()
scene.set_zoom_and_center(corners=corners)
display_model = scene._build_display_model()
#print(display_model)
utils.validate_model(display_model)
utils.write_model(display_model, 'raster-rgb_model.json')
def test_geojson_features(self):
'''Test creating geojson features'''
scene = Scene()
scene.center = {
'x': -76.5,
'y': 43.0
}
scene.zoom = 7
scene.create_layer('osm', renderer='canvas')
feature_layer = scene.create_layer(
'feature', features=['point', 'line', 'polygon'])
feature_layer.create_feature('geojson', data=ny_polygons)
display_model = scene._build_display_model()
#print(data)
# Validate display model against schema
utils.validate_model(display_model)
# Optionally write result to model file
utils.write_model(display_model, 'geojson_model.json')
def test_quad_feature(self):
'''Test creating simple map with osm and feature layer'''
scene = Scene(zoom=10) # pass in option to constructor
scene.center = {'x': -97.67, 'y': 31.80} # set option as public member
scene.zoom = 4
osm_layer = scene.create_layer(LayerType.OSM)
feature_layer = scene.create_layer(
LayerType.FEATURE, features=[FeatureType.POINT, FeatureType.QUAD])
# Point data
cities = [{
'lon': -74.0059413,
'lat': 40.7127837,
'name': "New York",
'population': 8405837
}, {
'lon': -118.2436849,
'lat': 34.0522342,
'name': "Los Angeles",
'population': 3884307
}, {
'lon': -87.6297982,
'lat': 41.8781136,
'name': "Chicago",
'population': 2718782
}, {
'lon': -95.3698028,
'lat': 29.7604267,
'name': "Houston",
'population': 2195914
}, {
'lon': -75.1652215,
'lat': 39.9525839,
'name': "Philadelphia",
'population': 1553165
}, {
'lon': -112.0740373,
'lat': 33.4483771,
'name': "Phoenix",
'population': 1513367
}]
# Use lambda function to set point positions
position = lambda city: {'x': city['lon'], 'y': city['lat']}
style = {'strokeColor': 'black', 'strokeWidth': 2}
# Use lambda function to set point radius
populations = [city['population'] for city in cities]
pmin = min(populations)
# Scale area proportional to population
rmin = 8 # minimum radius
style['radius'] = lambda city: int(
math.sqrt(rmin * rmin * city['population'] / pmin))
point_feature = feature_layer.create_feature(FeatureType.POINT,
cities,
position=position,
style=style)
point_feature.enableTooltip = True # adds ui layer in JS but NOT in python
# Apply colormap to longitude
if MPL_LOADED:
cmap = mpl.cm.get_cmap('Spectral')
lons = [city['lon'] for city in cities]
lon_norm = mpl.colors.Normalize(vmin=min(lons), vmax=max(lons))
style['fillColor'] = lambda city: cmap(lon_norm(city['lon']))
point_feature.style = style
else:
point_feature.colormap = {
'colorseries': 'rainbow',
'field': 'lon',
'range': [-118.2436849, -74.0059413]
}
# Quad data
feature_data = [{
# Copied from http://opengeoscience.github.io/geojs/tutorials/video_on_map/
'ul': {
'x': -129.0625,
'y': 42.13468456089552
},
'lr': {
'x': -100.9375,
'y': 29.348416310781797
}
}]
quad = feature_layer.create_feature(FeatureType.QUAD, feature_data)
quad.style = {'color': 'magenta', 'opacity': 0.2}
# Build display model
display_model = scene._build_display_model()
print(display_model)
# Validate display model against schema
utils.validate_model(display_model)
# Optionally write result to model file
utils.write_model(display_model, 'basic-features_model.json')