├── .gitignore ├── LICENSE ├── README.md ├── data ├── 1950-2018-torn-aspath.zip ├── 1950-2018-torn-initpoint.zip ├── usa-states-census-2014.cpg ├── usa-states-census-2014.dbf ├── usa-states-census-2014.prj ├── usa-states-census-2014.qpj ├── usa-states-census-2014.shp ├── usa-states-census-2014.shp.xml └── usa-states-census-2014.shx ├── geopandas-plot-us-tornados.ipynb ├── geopandas-us-map.ipynb └── usa.png /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | pip-wheel-metadata/ 24 | share/python-wheels/ 25 | *.egg-info/ 26 | .installed.cfg 27 | *.egg 28 | MANIFEST 29 | 30 | # PyInstaller 31 | # Usually these files are written by a python script from a template 32 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 33 | *.manifest 34 | *.spec 35 | 36 | # Installer logs 37 | pip-log.txt 38 | pip-delete-this-directory.txt 39 | 40 | # Unit test / coverage reports 41 | htmlcov/ 42 | .tox/ 43 | .nox/ 44 | .coverage 45 | .coverage.* 46 | .cache 47 | nosetests.xml 48 | coverage.xml 49 | *.cover 50 | *.py,cover 51 | .hypothesis/ 52 | .pytest_cache/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | target/ 76 | 77 | # Jupyter Notebook 78 | .ipynb_checkpoints 79 | 80 | # IPython 81 | profile_default/ 82 | ipython_config.py 83 | 84 | # pyenv 85 | .python-version 86 | 87 | # pipenv 88 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 89 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 90 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 91 | # install all needed dependencies. 92 | #Pipfile.lock 93 | 94 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow 95 | __pypackages__/ 96 | 97 | # Celery stuff 98 | celerybeat-schedule 99 | celerybeat.pid 100 | 101 | # SageMath parsed files 102 | *.sage.py 103 | 104 | # Environments 105 | .env 106 | .venv 107 | env/ 108 | venv/ 109 | ENV/ 110 | env.bak/ 111 | venv.bak/ 112 | 113 | # Spyder project settings 114 | .spyderproject 115 | .spyproject 116 | 117 | # Rope project settings 118 | .ropeproject 119 | 120 | # mkdocs documentation 121 | /site 122 | 123 | # mypy 124 | .mypy_cache/ 125 | .dmypy.json 126 | dmypy.json 127 | 128 | # Pyre type checker 129 | .pyre/ 130 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2020 Jonathan Cutrer 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # geopandas tutorial 2 | 3 | Learn how to ingest and plot shapefiles using the geopandas library in python. This collection of juptyer notebooks support several articles that I have written over at https://jcutrer.com/python/ 4 | 5 | 6 | ## Related Blog Posts 7 | 8 | * [Learn geopandas by plotting U.S Maps](https://jcutrer.com/python/learn-geopandas-plotting-usmaps) 9 | * [Learn geopandas by plotting tornados on a map](https://jcutrer.com/python/learn-geopandas-plotting-tornados) - Currently drafting 10 | 11 | 12 | ## Notebook Files 13 | 14 | * [geopandas-us-map.ipynb](https://github.com/joncutrer/geopandas-tutorial/blob/master/geopandas-us-map.ipynb) - Working with U.S. Census shapefiles 15 | * [geopandas-plot-us-tornados.ipynb](https://github.com/joncutrer/geopandas-tutorial/blob/master/geopandas-plot-us-tornados.ipynb) - Learn to plot NOAA provided U.S. tornado data 16 | 17 | --- 18 | 19 | ## License 20 | 21 | [![License](http://img.shields.io/:license-mit-blue.svg?style=flat-square)](http://badges.mit-license.org) 22 | 23 | - **[MIT license](http://opensource.org/licenses/mit-license.php)** 24 | - Copyright 2020 © Jonathan Cutrer. -------------------------------------------------------------------------------- /data/1950-2018-torn-aspath.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/joncutrer/geopandas-tutorial/af222cc2965c3e34fe98bfb58cdc97185d370cc8/data/1950-2018-torn-aspath.zip -------------------------------------------------------------------------------- /data/1950-2018-torn-initpoint.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/joncutrer/geopandas-tutorial/af222cc2965c3e34fe98bfb58cdc97185d370cc8/data/1950-2018-torn-initpoint.zip -------------------------------------------------------------------------------- /data/usa-states-census-2014.cpg: -------------------------------------------------------------------------------- 1 | UTF-8 -------------------------------------------------------------------------------- /data/usa-states-census-2014.dbf: -------------------------------------------------------------------------------- 1 | _:aSTATEFPCSTATENSCAFFGEOIDC GEOIDCSTUSPSCNAMECdLSADCALANDNAWATERNregionCd 06017797780400000US0606CACalifornia 00 403483823181 20483271881West 11017023820400000US1111DCDistrict of Columbia 00 158350578 18633500Northeast 12002944780400000US1212FLFlorida 00 138903200855 31407883551Southeast 13017053170400000US1313GAGeorgia 00 148963503399 4947080103Southeast 16017797830400000US1616IDIdaho 00 214045425549 2397728105West 17017797840400000US1717ILIllinois 00 143794747023 6200927458Midwest 19017797850400000US1919IAIowa 00 144668594415 1076856589Midwest 21017797860400000US2121KYKentucky 00 102262419204 2393338940Southeast 22016295430400000US2222LALouisiana 00 111901043977 23750204105Southeast 24017149340400000US2424MDMaryland 00 25147575220 6983455225Northeast 26017797890400000US2626MIMichigan 00 146455316950 104031344385Midwest 27006628490400000US2727MNMinnesota 00 206236605303 18924324242Midwest 29017797910400000US2929MOMissouri 00 178039995643 2500220114Midwest 36017797960400000US3636NYNew York 00 122054577774 19242052501Northeast 41011551070400000US4141OROregon 00 248608666869 6190902750West 47013258730400000US4747TNTennessee 00 106800130794 2352882756Southeast 48017798010400000US4848TXTexas 00 676601887070 19059877230Southwest 51017798030400000US5151VAVirginia 00 102283343474 8504608966Southeast 55017798060400000US5555WIWisconsin 00 140269495483 29365430262Midwest 04017797770400000US0404AZArizona 00 294205282243 1027790845Southwest 05000680850400000US0505ARArkansas 00 134771603434 2960200961Southeast 08017797790400000US0808COColorado 00 268426928342 1176085119West 18004485080400000US1818INIndiana 00 92790411854 1535839439Midwest 09017797800400000US0909CTConnecticut 00 12542396439 1814978794Northeast 31017797920400000US3131NENebraska 00 198972282955 1356441861Midwest 35008975350400000US3535NMNew Mexico 00 314161410324 755712514Southwest 37010276160400000US3737NCNorth Carolina 00 125917995955 13472722504Southeast 39010854970400000US3939OHOhio 00 105831263791 10266413579Midwest 23017797870400000US2323MEMaine 00 79885244456 11749091526Northeast 25006069260400000US2525MAMassachusetts 00 20203936287 7131805598Northeast 28017797900400000US2828MSMississippi 00 121531899917 3928587545Southeast 30007679820400000US3030MTMontana 00 376963849026 3867840830West 40011028570400000US4040OKOklahoma 00 177662951360 3374301679Southwest 45017797990400000US4545SCSouth Carolina 00 77857913931 5074749305Southeast 46017855340400000US4646SDSouth Dakota 00 196348876870 3379900654Midwest 49014559890400000US4949UTUtah 00 212883424892 7000211755West 53017798040400000US5353WAWashington 00 172120795268 12540315747West 54017798050400000US5454WVWest Virginia 00 62266581604 489443020Southeast 56017798070400000US5656WYWyoming 00 251471960305 1862600347West 10017797810400000US1010DEDelaware 00 5047093738 1398754502Northeast 44012198350400000US4444RIRhode Island 00 2677751247 1323482672Northeast 01017797750400000US0101ALAlabama 00 131172403111 4594951242Southeast 38017797970400000US3838NDNorth Dakota 00 178708787440 4398990288Midwest 42017797980400000US4242PAPennsylvania 00 115884023072 3396010541Northeast 50017798020400000US5050VTVermont 00 23871896411 1034369068Northeast 20004818130400000US2020KSKansas 00 211752875517 1346704962Midwest 32017797930400000US3232NVNevada 00 284331571298 2049092975West 33017797940400000US3333NHNew Hampshire 00 23187964254 1026252314Northeast 34017797950400000US3434NJNew Jersey 00 19048769408 3542752545Northeast 36017797960400000US3636NYNew York 00 122054577774 19242052501Northeast 09017797800400000US0909CTConnecticut 00 12542396439 1814978794Northeast 23017797870400000US2323MEMaine 00 79885244456 11749091526Northeast 25006069260400000US2525MAMassachusetts 00 20203936287 7131805598Northeast 44012198350400000US4444RIRhode Island 00 2677751247 1323482672Northeast 42017797980400000US4242PAPennsylvania 00 115884023072 3396010541Northeast 50017798020400000US5050VTVermont 00 23871896411 1034369068Northeast 33017797940400000US3333NHNew Hampshire 00 23187964254 1026252314Northeast 34017797950400000US3434NJNew Jersey 00 19048769408 3542752545Northeast -------------------------------------------------------------------------------- /data/usa-states-census-2014.prj: -------------------------------------------------------------------------------- 1 | GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137,298.257223563]],PRIMEM["Greenwich",0],UNIT["Degree",0.017453292519943295]] -------------------------------------------------------------------------------- /data/usa-states-census-2014.qpj: -------------------------------------------------------------------------------- 1 | GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4326"]] 2 | -------------------------------------------------------------------------------- /data/usa-states-census-2014.shp: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/joncutrer/geopandas-tutorial/af222cc2965c3e34fe98bfb58cdc97185d370cc8/data/usa-states-census-2014.shp -------------------------------------------------------------------------------- /data/usa-states-census-2014.shp.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | U.S. Department of Commerce, U.S. Census Bureau, Geography Division/Cartographic Products Branch 7 | 201505 8 | 2014 Cartographic Boundary File, State for United States, 1:20,000,000 9 | vector digital data 10 | 11 | Cartographic Boundary Files 12 | 2014 13 | 14 | http://www2.census.gov/geo/tiger/GENZ2014/shp/cb_2014_us_state_20m.zip 15 | 16 | 17 | 18 | NOTE: These data were reprojected into WGS84 for Teaching purposes by Leah A Wasser to support the National Ecological Observatory Network (NEON) project's spatial data education program. Data were also subsetted out to include the continental US only. All other metadata below apply. 19 | 20 | The 2014 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. 21 | 22 | States and equivalent entities are the primary governmental divisions of the United States. In addition to the fifty States, the Census Bureau treats the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) as the statistical equivalents of States for the purpose of data presentation. 23 | These files were specifically created to support small-scale thematic mapping. To improve the appearance of shapes at small scales, areas are represented with fewer vertices than detailed TIGER/Line Shapefiles. Cartographic boundary files take up less disk space than their ungeneralized counterparts. Cartographic boundary files take less time to render on screen than TIGER/Line Shapefiles. You can join this file with table data downloaded from American FactFinder by using the AFFGEOID field in the cartographic boundary file. If detailed boundaries are required, please use the TIGER/Line Shapefiles instead of the generalized cartographic boundary files. 24 | 25 | 26 | 27 | 28 | 201505 29 | 201505 30 | 31 | 32 | publication date 33 | 34 | 35 | Complete 36 | None planned. No changes or updates will be made to this version of the cartographic boundary files. New versions of the cartographic boundary files will be produced on an annual release schedule. Types of geography released may vary from year to year. 37 | 38 | 39 | 40 | -66.9499 41 | 49.3844 42 | 24.4981 43 | 1124.726 44 | 45 | 46 | 47 | 48 | ISO 19115 Topic Categories 49 | Boundaries 50 | 51 | 52 | None 53 | 2014 54 | SHP 55 | Cartographic Boundary 56 | Generalized 57 | State 58 | 59 | 60 | ANSI INCITS 38:2009 (Formerly FIPS 5-2), ANSI INCITS 31:2009 (Formerly FIPS 6-4),ANSI INCITS 454:2009 (Formerly FIPS 8-6), ANSI INCITS 455:2009(Formerly FIPS 9-1), ANSI INCITS 446:2008 (Geographic Names Information System (GNIS)) 61 | United States 62 | US 63 | 64 | 65 | None 66 | The intended display scale for this file is 1:20,000,000. This file should not be displayed at scales larger than 1:20,000,000. 67 | 68 | These products are free to use in a product or publication, however acknowledgement must be given to the U.S. Census Bureau as the source. The boundary information is for visual display at appropriate small scales only. Cartographic boundary files should not be used for geographic analysis including area or perimeter calculation. Files should not be used for geocoding addresses. Files should not be used for determining precise geographic area relationships. 69 | 70 | 71 | 72 | 73 | U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch 74 | 75 | 76 | mailing 77 |
4600 Silver Hill Road
78 | Washington 79 | DC 80 | 20233-7400 81 | United States 82 | 83 | 301.763.1128 84 | 301.763.4710 85 | geo.geography@census.gov 86 | 87 | 88 | 89 | 90 | 91 | Accurate against American National Standards Institute (ANSI) Publication INCITS 446-2008 (Geographic Names Information System (GNIS)) at the 100% level for the codes and base names present in the file. The remaining attribute information has been examined but has not been fully tested for accuracy. 92 | 93 | The Census Bureau performed automated tests to ensure logical consistency of the source database. Segments making up the outer and inner boundaries of a polygon tie end-to-end to completely enclose the area. All polygons were tested for closure. The Census Bureau uses its internally developed geographic update system to enhance and modify spatial and attribute data in the Census MAF/TIGER database. Standard geographic codes, such as INCITS (formerly FIPS) codes for states, counties, municipalities, county subdivisions, places, American Indian/Alaska Native/Native Hawaiian areas, and congressional districts are used when encoding spatial entities. The Census Bureau performed spatial data tests for logical consistency of the codes during the compilation of the original Census MAF/TIGER database files. Feature attribute information has been examined but has not been fully tested for consistency. 94 | 95 | For the cartographic boundary files, the Point and Vector Object Count for the G-polygon SDTS Point and Vector Object Type reflects the number of records in the file's data table. For multi-polygon features, only one attribute record exists for each multi-polygon rather than one attribute record per individual G-polygon component of the multi-polygon feature. Cartographic Boundary File multi-polygons are an exception to the G-polygon object type classification. Therefore, when multi-polygons exist in a file, the object count will be less than the actual number of G-polygons. 96 | The cartographic boundary files are generalized representations of extracts taken from the MAF/TIGER Database. Generalized boundary files are clipped to a simplified version of the U.S. outline. As a result, some off-shore areas may be excluded from the generalized files. Some small holes or discontiguous parts of areas are not included in generalized files. 97 | 98 | 99 | Data are not accurate. Data are generalized representations of geographic boundaries at 1:20,000,000. 100 | 101 | 102 | 103 | 104 | 105 | 106 | U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch 107 | unpublished material 108 | Census MAF/TIGER database 109 | 110 | 111 | Geo-spatial Relational Database 112 | 113 | 114 | 115 | 20140101 116 | 20140101 117 | 118 | 119 | The dates describe the effective date of 2014 cartographic boundaries. 120 | 121 | MAF/TIGER 122 | All spatial and feature data 123 | 124 | 125 | Spatial data were extracted from the MAF/TIGER database and processed through a U.S. Census Bureau batch generalization system. 126 | MAF/TIGER 127 | 201505 128 | 129 | 130 | 131 | 132 | INCITS (formerly FIPS) codes 133 | Vector 134 | 135 | 136 | G-polygon 137 | 52 138 | 139 | 140 | 141 | 142 | 143 | 144 | 0.000458 145 | 0.000458 146 | Decimal degrees 147 | 148 | 149 | D_WGS_84 150 | WGS_84 151 | 6378137.000000 152 | 298.257222 153 | 154 | 155 | 156 | 157 | 158 | 159 | US-State-Boundaries-Census-2014.shp 160 | Current State and Equivalent National entities 161 | U.S. Census Bureau 162 | 163 | 164 | STATEFP 165 | Current state Federal Information Processing Series (FIPS) code 166 | U.S. Census Bureau 167 | 168 | 169 | National Standard Codes (ANSI INCITS 38-2009), Federal Information Processing Series (FIPS) - States/State Equivalents 170 | U.S. Census Bureau 171 | 172 | 173 | 174 | 175 | STATENS 176 | Current state Geographic Names Information System (GNIS) code 177 | U.S. Census Bureau 178 | 179 | 180 | INCITS 446:2008 (Geographic Names Information System (GNIS)), Identifying Attributes for Named Physical and Cultural Geographic Features (Except Roads and Highways) of the United States, Its Territories, Outlying Areas, and Freely Associated Areas, and the Waters of the Same to the Limit of the Twelve-Mile Statutory Zone 181 | U.S. Geological Survey (USGS) 182 | 183 | 184 | 185 | 186 | AFFGEOID 187 | American FactFinder summary level code + geovariant code + '00US' + GEOID 188 | U.S. Census Bureau 189 | 190 | 191 | American FactFinder geographic identifier 192 | U.S. Census Bureau 193 | 194 | 195 | 196 | 197 | GEOID 198 | State identifier; state FIPS code 199 | U.S. Census Bureau 200 | 201 | 202 | National Standard Codes (ANSI INCITS 38-2009), Federal Information Processing Series (FIPS) - States/State Equivalents 203 | U.S. Census Bureau 204 | 205 | 206 | 207 | 208 | STUSPS 209 | Current United States Postal Service state abbreviation 210 | U.S. Postal Service 211 | 212 | 213 | Publication 28 - Postal Addressing Standards 214 | U.S. Postal Service 215 | 216 | 217 | 218 | 219 | NAME 220 | Current State name 221 | U.S. Census Bureau 222 | 223 | 224 | National Standard Codes (ANSI INCITS 38-2009), Federal Information Processing Series (FIPS) - States/State Equivalents 225 | U.S. Census Bureau 226 | 227 | 228 | 229 | 230 | LSAD 231 | Current legal/statistical area description code for state 232 | U.S. Census Bureau 233 | 234 | 235 | 00 236 | Blank 237 | U.S. Census Bureau 238 | 239 | 240 | 241 | 242 | ALAND 243 | Current land area (square meters) 244 | U.S. Census Bureau 245 | 246 | 247 | 0 248 | 9,999,999,999,999 249 | square meters 250 | 251 | 252 | 253 | 254 | AWATER 255 | Current water area (square meters) 256 | U.S. Census Bureau 257 | 258 | 259 | 0 260 | 9,999,999,999,999 261 | square meters 262 | 263 | 264 | 265 | 266 | 267 | 268 | 269 | 270 | 271 | U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch 272 | 273 | 274 | mailing 275 |
4600 Silver Hill Road
276 | Washington 277 | DC 278 | 20233-7400 279 | United States 280 | 281 | 301.763.1128 282 | 301.763.4710 283 | geo.geography@census.gov 284 | 285 | 286 | No warranty, expressed or implied is made with regard to the accuracy of these data, and no liability is assumed by the U.S. Government in general or the U.S. Census Bureau in specific as to the spatial or attribute accuracy of the data. The act of distribution shall not constitute any such warranty and no responsibility is assumed by the U.S. government in the use of these files. The boundary information is for small-scale mapping purposes only; boundary depiction and designation for small-scale mapping purposes do not constitute a determination of jurisdictional authority or rights of ownership or entitlement and they are not legal land descriptions. 287 | 288 | 289 | 290 | SHP 291 | PK-ZIP, version 1.93A or higher 292 | 293 | 294 | 295 | 296 | 297 | http://www2.census.gov/geo/tiger/GENZ2014/shp/cb_2014_us_state_20m.zip 298 | 299 | 300 | 301 | 302 | 303 | The online cartographic boundary files may be downloaded without charge. 304 | To obtain more information about ordering Cartographic Boundary Files visit http://www.census.gov/geo/www/tiger. 305 | 306 | The cartographic boundary files contain geographic data only and do not include display mapping software or statistical data. For information on how to use cartographic boundary file data with specific software package users shall contact the company that produced the software. 307 | 308 | 309 | 201505 310 | 311 | 312 | 313 | U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch 314 | 315 | 316 | mailing 317 |
4600 Silver Hill Road
318 | Washington 319 | DC 320 | 20233-7400 321 | United States 322 | 323 | 301.763.1128 324 | 301.763.4710 325 | geo.geography@census.gov 326 | 327 | 328 | Content Standard for Digital Geospatial Metadata 329 | FGDC-STD-001-1998 330 | 331 | -------------------------------------------------------------------------------- /data/usa-states-census-2014.shx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/joncutrer/geopandas-tutorial/af222cc2965c3e34fe98bfb58cdc97185d370cc8/data/usa-states-census-2014.shx -------------------------------------------------------------------------------- /usa.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/joncutrer/geopandas-tutorial/af222cc2965c3e34fe98bfb58cdc97185d370cc8/usa.png --------------------------------------------------------------------------------