from django.contrib.humanize.templatetags.humanize import ordinal
import utils
SHAPEFILES = {
# This key should be the plural name of the boundaries in this set
'Counties': {
# Path to a shapefile, relative to /data/shapefiles
'file': '04_Arizona/04/tl_2010_04_county10.shp',
# Generic singular name for an boundary of from this set
'singular': 'County',
# Should the singular name come first when creating canonical identifiers for this set?
'kind_first': False,
# Function which each feature wall be passed to in order to extract its "external_id" property
# The utils module contains several generic functions for doing this
'ider': utils.simple_namer(['COUNTYFP10']),
# Function which each feature will be passed to in order to extract its "name" property
'namer': utils.simple_namer(['NAME10']),
# Authority that is responsible for the accuracy of this data
'authority': 'Census',
# Geographic extents which the boundary set encompasses
'domain': 'Arizona',
# Last time the source was checked for new data
'last_updated': date(2011, 6, 18),
# A url to the source of the data
'href': 'http://www.census.gov/geo/www/tiger/',
# Notes identifying any pecularities about the data, such as columns that were deleted or files which were merged
'notes': '',
# Encoding of the text fields in the shapefile, i.e. 'utf-8'. If this is left empty 'ascii' is assumed
'encoding': 'utf-8',
# SRID of the geometry data in the shapefile if it can not be inferred from an accompanying .prj file
"""
Configuration describing the shapefiles to be loaded for django-boundaryservice.
"""
from datetime import date
from django.contrib.humanize.templatetags.humanize import ordinal
import utils
SHAPEFILES = {
'Community Areas': {
'file': 'community_areas/CommAreas.shp',
'singular': 'Community Area',
'kind_first': False,
'ider': utils.simple_namer(['AREA_NUMBE']),
'namer': utils.simple_namer(['COMMUNITY'], normalizer=lambda s: s.title()),
'authority': 'City of Chicago',
'domain': 'Chicago',
'last_updated': date(2010, 12, 12),
'href': 'http://www.cityofchicago.org/city/en/depts/doit/supp_info/gis_data.html',
'notes': '',
'encoding': ''
},
'Neighborhoods': {
'file': 'neighborhoods/Neighboorhoods.shp',
'singular': 'Neighborhood',
'kind_first': False,
'ider': utils.simple_namer(['PRI_NEIGH_']),
'namer': utils.simple_namer(['PRI_NEIGH']),
'authority': 'City of Chicago',
'domain': 'Chicago',
so we need to get just the first part of that.
"""
if "_" in name:
return name.split('_')[0]
else:
return name
# This SHAPEFILES dictionary is a sample. You should delete (or comment out)
# the first entry if you don't care about neighborhoods in Chicago.
SHAPEFILES = {
'Wards': {
'file': 'Ward02Ply/Ward02Ply.shp',
'singular': 'Ward',
'kind_first': True,
'ider': utils.simple_namer(['WARD_ID']),
'namer': utils.simple_namer(['WARD_ID']),
'authority': 'DC Office of the Chief Technology Officer',
'domain': 'Washington, DC',
'last_updated': date(2011, 2, 26),
'href': 'http://data.dc.gov/Metadata.aspx?id=126',
'notes': '',
'encoding': '',
},
'Neighborhood Clusters': {
'file': 'NbhClusPly/NbhClusPly.shp',
'singular': 'Neighborhood Cluster',
'kind_first': False,
'ider': utils.simple_namer(['GIS_ID']),
'namer': utils.simple_namer(['NBH_NAMES']),
import utils
SHAPEFILES = {
# This key should be the plural name of the boundaries in this set
'Neighborhoods': {
# Path to a shapefile, relative to /data
'file': 'neighborhoods/Neighboorhoods.shp',
# Generic singular name for an boundary of from this set
'singular': 'Neighborhood',
# Should the singular name come first when creating canonical identifiers for this set?
# (e.g. True in this case would result in "Neighborhood South Austin" rather than "South Austin Neighborhood")
'kind_first': False,
# Function which each feature wall be passed to in order to extract its "external_id" property
# The utils module contains several generic functions for doing this
'ider': utils.simple_namer(['PRI_NEIGH_']),
# Function which each feature will be passed to in order to extract its "name" property
'namer': utils.simple_namer(['PRI_NEIGH']),
# Authority that is responsible for the accuracy of this data
'authority': 'City of Chicago',
# Geographic extents which the boundary set encompasses
'domain': 'Chicago',
# Last time the source was checked for new data
'last_updated': date(2010, 12, 12),
# A url to the source of the data
'href': 'http://www.cityofchicago.org/city/en/depts/doit/supp_info/gis_data.html',
# Notes identifying any pecularities about the data, such as columns that were deleted or files which were merged
'notes': '',
# Encoding of the text fields in the shapefile, i.e. 'utf-8'. If this is left empty 'ascii' is assumed
'encoding': ''
# SRID of the geometry data in the shapefile if it can not be inferred from an accompanying .prj file
# # A url to the source of the data
# 'href': 'http://www.cityofchicago.org/city/en/depts/doit/supp_info/gis_data.html',
# # Notes identifying any pecularities about the data, such as columns that were deleted or files which were merged
# 'notes': '',
# # Encoding of the text fields in the shapefile, i.e. 'utf-8'. If this is left empty 'ascii' is assumed
# 'encoding': ''
# # SRID of the geometry data in the shapefile if it can not be inferred from an accompanying .prj file
# # This is normally not necessary and can be left undefined or set to an empty string to maintain the default behavior
# #'srid': ''
#},
'Cities': {
'file': 'DCBndyPly/DCGIS_DCBndyPly.shp',
'singular': 'City',
'kind_first': False,
'ider': utils.simple_namer(['CITY_NAME']),
'namer': utils.simple_namer(['CITY_NAME']),
'authority': 'DC Office of the Chief Technology Officer',
'domain': 'Washington, DC',
'last_updated': date(2011, 3, 2),
'href': 'http://data.dc.gov/Metadata.aspx?id=74',
'notes': '',
'encoding': '',
},
'Wards': {
'file': 'Ward02Ply/Ward02Ply.shp',
'singular': 'Ward',
'kind_first': True,
'ider': utils.simple_namer(['WARD_ID']),
'namer': utils.simple_namer(['WARD_ID']),
from django.contrib.humanize.templatetags.humanize import ordinal
import utils
SHAPEFILES = {
# This key should be the plural name of the boundaries in this set
'Counties': {
# Path to a shapefile, relative to /data/shapefiles
'file': '04_Arizona/04/tl_2010_04_county10.shp',
# Generic singular name for an boundary of from this set
'singular': 'County',
# Should the singular name come first when creating canonical identifiers for this set?
'kind_first': False,
# Function which each feature wall be passed to in order to extract its "external_id" property
# The utils module contains several generic functions for doing this
'ider': utils.simple_namer(['COUNTYFP10']),
# Function which each feature will be passed to in order to extract its "name" property
'namer': utils.simple_namer(['NAME10']),
# Authority that is responsible for the accuracy of this data
'authority': 'Census',
# Geographic extents which the boundary set encompasses
'domain': 'Arizona',
# Last time the source was checked for new data
'last_updated': date(2011, 6, 18),
# A url to the source of the data
'href': 'http://www.census.gov/geo/www/tiger/',
# Notes identifying any pecularities about the data, such as columns that were deleted or files which were merged
'notes': '',
# Encoding of the text fields in the shapefile, i.e. 'utf-8'. If this is left empty 'ascii' is assumed
'encoding': 'utf-8',
# SRID of the geometry data in the shapefile if it can not be inferred from an accompanying .prj file
from django.contrib.humanize.templatetags.humanize import ordinal
import utils
SHAPEFILES = {
# This key should be the plural name of the boundaries in this set
'City Council Districts': {
# Path to a shapefile, relative to /data/shapefiles
'file': 'city_council_districts/Council Districts.shp',
# Generic singular name for an boundary of from this set
'singular': 'City Council District',
# Should the singular name come first when creating canonical identifiers for this set?
'kind_first': False,
# Function which each feature wall be passed to in order to extract its "external_id" property
# The utils module contains several generic functions for doing this
'ider': utils.simple_namer(['DISTRICT']),
# Function which each feature will be passed to in order to extract its "name" property
'namer': utils.simple_namer(['NAME']),
# Authority that is responsible for the accuracy of this data
'authority': 'Tyler GIS Department',
# Geographic extents which the boundary set encompasses
'domain': 'Tyler',
# Last time the source was checked for new data
'last_updated': date(2011, 5, 14),
# A url to the source of the data
'href': 'http://www.smithcountymapsite.org/webshare/data.html',
# Notes identifying any pecularities about the data, such as columns that were deleted or files which were merged
'notes': '',
# Encoding of the text fields in the shapefile, i.e. 'utf-8'. If this is left empty 'ascii' is assumed
'encoding': '',
# SRID of the geometry data in the shapefile if it can not be inferred from an accompanying .prj file
# 'kind_first': False,
# 'ider': utils.simple_namer(['OBJECTID']),
# 'namer': utils.simple_namer(['PropAddCom']),
# 'authority': 'Wayne County',
# 'domain': 'Detroit',
# 'last_updated': date(2010, 12, 12),
# 'href': 'http://www.example.com',
# 'notes': '',
# 'encoding': ''
# },
'Planning Clusters': {
'file': 'clusters/Clusters.shp',
'singular': 'Cluster',
'kind_first': False,
'ider': utils.simple_namer(['CLUSTER']),
'namer': utils.simple_namer(['CLUSTER']),
'authority': 'City of Detroit',
'domain': 'Detroit',
'last_updated': date(2010, 12, 12),
'href': 'http://www.example.com',
'notes': '',
'encoding': ''
},
'Neighborhoods': {
'file': 'neighborhoods/Neighborhoods.shp',
'singular': 'Neighborhood',
'kind_first': False,
'ider': utils.simple_namer(['NHOOD']),
'namer': utils.simple_namer(['NHOOD']),
