def map_nhd(grid):
"""
#nhd_proj4 = '+init=epsg:4269'
nhd_proj4 = '+proj=latlong +ellps=GRS80 +datum=NAD83 +no_defs'
if 1:
imgs = [render_shapefile(('nhdflowline', 'false'),
nhd_proj4, grid, get_mss('nhd_flowline')),
render_shapefile(('nhdwaterbody', 'true'),
nhd_proj4, grid, get_mss('nhd_waterbody')),
render_shapefile(('nhdarea', 'true'),
nhd_proj4, grid, get_mss('nhd_area'))]
img = asum(imgs[0], imgs[2], 1.0)
img = asum(img, imgs[1], 1.0)
"""
img = render_layer(workdir, 'features', grid, ['nhd_flowline', 'nhd_waterbody', 'nhd_area', 'osm_line'])
#img = 1 - N.prod([1.0 - im for im in imgs], axis=0)
#img = N.max(imgs, axis=0)
#img = imgs[0]
# osm roads are imported in 900913
if 0:
osm = render_layer('features', grid, ['osm_line'])
if 0:
osm = render_shapefile(('ca_line',0),
gym.proj4_srs, grid,
get_mss('osm_label'))
if 0:
osm = render_shapefile(('ca_point',0), gym.proj4_srs,
grid, get_mss('osm_point'))
#glumpy_loop(img+osm)
#return img
#return osm
#return 0.5 * (osm + img)
#return asum(img, osm)
return img
def doit(workdir, grid):
extract_all(workdir, grid)
# create surface
lcf = '%s/mrlc' % (workdir,)
if os.path.exists(lcf + '.tif'):
sfcinfo, surface = load_mrlc(lcf + '.tif')
else:
sfcinfo, surface = load_quarters(lcf)
#print 'SFCI', sfcinfo
# get the hydrography
#water = map_nhd(sfcinfo.grid)
#print 'WWWWS', water.shape
#glumpy_loop(water)
demf = '%s/dem' % (workdir,)
demtif = demf + '.tif'
if os.path.exists(demtif):
deminfo, demlayers = load_raster(demtif)
else:
deminfo, demlayers = load_quarters(lcf)
dem = demlayers[0]
# XXX handle missing values
#glumpy_loop(surface)
shaded = reliefshade(deminfo, dem, surface)
#glumpy_loop(shaded)
# test of grid tiling
#for (z,ix,iy) in sfcinfo.grid.itertiles():
# print 'TILE %d %d %d' % (z, ix, iy)
#print 'TIFF_HISTO', N.histogram(img, new=True)
# if we don't have the DEM in a file (because we just composited it from quadrants),
# save it to a file so it can be fed to gdal_contour
if not os.path.exists(demtif):
save_raster(deminfo, demtif, dem)
if not os.path.isdir('%s/contour' % workdir):
contour_find(demtif, '%s/contour' % workdir)
if not os.path.isdir('%s/contourft' % (workdir,)):
ContourTweaker().filter('%s/contour' % (workdir,), '%s/contourft' % (workdir,))
feats = render_layer(workdir, 'features', grid, ['nhd_flowline', 'nhd_waterbody', 'nhd_area', 'osm_line', 'contours'])
fills = render_layer(workdir, 'fills', grid, ['contours', 'nhd_flowline', 'nhd_waterbody', 'nhd_area', 'osm_line'])
labels = render_layer(workdir, 'labels', grid, ['contours', 'nhd_flowline', 'nhd_waterbody', 'nhd_area', 'osm_line'])
# add contour labels and features
img = asum(shaded, halo_mask(feats, labels))
img = asum(img, fills)
img = asum(img, labels)
# build half-resolution versions for next zoom level
#if not os.path.isdir('%s/quarter' % (workdir,)):
# os.mkdir('%s/quarter' % (workdir,))
# XXX doesn't do anything right now
parentgrid = sfcinfo.grid
# XXX need to figure these out based on ix%2, iy%2 at some zoom?
is_east = 0
is_north = 0
quadrant = [['sw', 'se'], ['nw', 'ne']][is_north][is_east]
mrlcdir = request_workdir(parentgrid, 'mrlc')
build_quarter('%s/%s.tif' % (mrlcdir,quadrant), sfcinfo, surface)
demdir = request_workdir(parentgrid, 'dem')
build_quarter('%s/%s.tif' % (demdir,quadrant), deminfo, dem)
return img
