from datetime import date
from boundaryservice 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': 'co/counties.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(['FIPS']),
# Function which each feature will be passed to in order to extract its "name" property
'namer': utils.simple_namer(['COUNTY']),
# Authority that is responsible for the accuracy of this data
'authority': 'US Census Bureau',
# Geographic extents which the boundary set encompasses
'domain': 'Colorado',
# Last time the source was checked for new data
'last_updated': date(2013, 11, 1),
# A url to the source of the data
'href': 'http://www.nationalatlas.gov/atlasftp-1m.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
from datetime import date
from boundaryservice import utils
SHAPEFILES = {
# This key should be the plural name of the boundaries in this set
'New Jersey Municipalities': {
# Path to a shapefile, relative to /data/shapefiles
'file': 'nj_boundaries/nj_munis.shp',
# Generic singular name for an boundary of from this set
'singular': 'Municipality',
# Should the singular name come first when creating canonical identifiers for this set?
'kind_first': True,
# Function which each feature will 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(['KEY']),
# 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': 'NJ Geographic Information Network',
# Geographic extents which the boundary set encompasses
'domain': 'New Jersey',
# Last time the source was checked for new data
'last_updated': date(2012, 12, 27),
# A url to the source of the data
'href': 'https://njgin.state.nj.us/NJ_NJGINExplorer/jviewer.jsp?pg=DataDownloads',
# 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
from datetime import date
from boundaryservice import utils
SHAPEFILES = {
'Counties': {
'file': 'counties.zip',
'singular': 'County',
'kind_first': False,
'ider': utils.simple_namer(['GEOID']),
'namer': utils.simple_namer(['NAME']),
'authority': 'United States Census Bureau',
'domain': 'United States of America',
'last_updated': date(2013, 8, 6),
'href': (
'ftp://ftp2.census.gov/geo/tiger/TIGER2013/'
'COUNTY/tl_2013_us_county.zip'),
'notes': 'Resaved as UTF-8 encoding',
'encoding': '',
'srid': '',
'simplification': 0.0001,
},
'States': {
'file': 'tl_2013_us_state.zip',
'singular': 'State',
'kind_first': False,
'ider': utils.simple_namer(['GEOID']),
'namer': utils.simple_namer(['NAME']),
'authority': 'United States Census Bureau',
'domain': 'United States of America',
'last_updated': date(2013, 8, 6),
from datetime import date
from boundaryservice import utils
SHAPEFILES = {
"Counties": {
"file": "counties.zip",
"singular": "County",
"kind_first": False,
"ider": utils.simple_namer(["GEOID"]),
"namer": utils.simple_namer(["NAME"]),
"authority": "United States Census Bureau",
"domain": "United States of America",
"last_updated": date(2013, 8, 6),
"href": ("ftp://ftp2.census.gov/geo/tiger/TIGER2013/" "COUNTY/tl_2013_us_county.zip"),
"notes": "Resaved as UTF-8 encoding",
"encoding": "",
"srid": "",
"simplification": 0.0001,
},
"States": {
"file": "tl_2013_us_state.zip",
"singular": "State",
"kind_first": False,
"ider": utils.simple_namer(["GEOID"]),
"namer": utils.simple_namer(["NAME"]),
"authority": "United States Census Bureau",
"domain": "United States of America",
"last_updated": date(2013, 8, 6),
"href": ("ftp://ftp2.census.gov/geo/tiger/TIGER2013/" "STATE/tl_2013_us_state.zip"),
"notes": "",
from datetime import date
from boundaryservice import utils
import processing
SHAPEFILES = {
# This key should be the plural name of the boundaries in this set
'State House districts (2002)': {
# Path to a shapefile, relative to /data/shapefiles
'file': 'state-house-districts/2002-census/tl_2010_27_sldl10/tl_2010_27_sldl10.shp',
# Generic singular name for an boundary of from this set
'singular': 'State House district (2002)',
# 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(['geoid10']),
# Function which each feature will be passed to in order to extract its "name" property
#
# This ends up being the slug: 63a-state-house-district-2002
'namer': utils.simple_namer(['sldlst10'], normalizer=lambda x: x.lstrip('0')),
# Authority that is responsible for the accuracy of this data
'authority': 'U.S. Census Bureau TIGER lines',
# Geographic extents which the boundary set encompasses
'domain': 'Minnesota',
# Last time the source was checked for new data
'last_updated': date(2012, 5, 3),
# A url to the source of the data
'href': 'http://www.census.gov/cgi-bin/geo/shapefiles2010/main',
# Notes identifying any pecularities about the data, such as columns that were deleted or files which were merged
'notes': 'These districts were defined in 2002.',
# Encoding of the text fields in the shapefile, i.e. 'utf-8'. If this is left empty 'ascii' is assumed
from datetime import date
from boundaryservice import utils
import processing
SHAPEFILES = {
# This key should be the plural name of the boundaries in this set
'State House districts (2002)': {
# Path to a shapefile, relative to /data/shapefiles
'file': 'state-house-districts/2002-census/tl_2010_27_sldl10/tl_2010_27_sldl10.shp',
# Generic singular name for an boundary of from this set
'singular': 'State House district (2002)',
# 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(['geoid10']),
# Function which each feature will be passed to in order to extract its "name" property
#
# This ends up being the slug: 63a-state-house-district-2002
'namer': utils.simple_namer(['sldlst10'], normalizer=lambda x: x.lstrip('0')),
# Authority that is responsible for the accuracy of this data
'authority': 'U.S. Census Bureau TIGER lines',
# Geographic extents which the boundary set encompasses
'domain': 'Minnesota',
# Last time the source was checked for new data
'last_updated': date(2012, 5, 3),
# A url to the source of the data
'href': 'http://www.census.gov/cgi-bin/geo/shapefiles2010/main',
# Notes identifying any pecularities about the data, such as columns that were deleted or files which were merged
'notes': 'These districts were defined in 2002.',
# Encoding of the text fields in the shapefile, i.e. 'utf-8'. If this is left empty 'ascii' is assumed
