Metadata also available as
Identification_Information:
Citation:
Citation_Information:
Originator: USGS,
Geography; USGS,
Publication_Date: 2006
Title: Binational Features for the United States and Mexico Border Region
Geospatial_Data_Presentation_Form: vector digital data
Online_Linkage: <http://borderhealth.cr.usgs.gov/>
Description:
Abstract:
This binational geographic names dataset was developed by the U.S. Geological Survey’s (USGS) Border Environmental Health Initiative (BEHI) (<http://borderhealth.cr.usgs.gov/index.html>). International borders politically divide the landscape but rarely represent barriers for environmental issues. The major issues surrounding the U.S.-Mexico border involve economics and population growth that present challenges to environmental management and natural resource planning. To monitor trends and analyze the stresses to the environment, binationally integrated baseline datasets that portray the status of the landscape are needed. The primary objective of this project is to develop integrated, environmental resource and human health datasets for display and further analysis within a geographic information system (GIS) framework.
Datasets created for the BEHI follow watershed boundaries as defined by Woodward and Durall (1996). As part of the U.S.-Mexico Border Field Coordinating Committee Issues Team, Woodward and Durall used surface-water drainage basins as the primary basis for defining and delineating the extent of the border area from a shared-water resources perspective. In order to provide integrated datasets in the border region, local and regional BEHI datasets have been clipped to this boundary.
This feature class is a binational compilation of geographic names data (points of physical/cultural interest) for use in the USGS Border Environmental Health Initative. This dataset is being completed in phases delineated by the subareas in the Border Environmental Health Initiative. More about this project is located at: <http://borderhealth.cr.usgs.gov/>
Official Geographic Names data for the project area
were obtained from the USGS for the
It is important to note that the data from IMIP is not part of the official database kept by INEGI. However, it is used in this dataset since it contains a higher level of local detail and was readily available.
Since each country/agency has their own categorical system, a generalized categorical system was developed in order to integrate the data. When possible, the original category types were preserved when reassigning the new values.
Lastly, since we are using new methodologies to integrate these data, it is possible that future versions will have a generalized categorical system that differs from the one in this dataset.
Source dates for the
The source date for the IMIP data is 2005.
Purpose:
To create a binational set of geographic names data to be used on maps of 1:50,000 scale or smaller along the U.S./Mexico border. Although these data were created specifically for the USGS's border health project, it could also be used for any other maps that fall within the border health's extent. A map of this extent can be found at: <http://borderhealth.cr.usgs.gov/>
Furthermore, this dataset was created to provide resource managers, public officials, researchers, and the general public with ready access to accurate, impartial, scientific information to strike a balance among human needs for resource utilization, environmental quality, and human health.
Supplemental_Information:
Additional information about the Border Environmental Health Initiative can be found at <http://borderhealth.cr.usgs.gov> and datasets are available for viewing through an Internet Mapping Service (follow links on the main page to the Internet Mapping Service Viewer).
A map of the Border Health project's study areas can be found at: <http://borderhealth.cr.usgs.gov/projareas.html>
U.S. GNIS and GNIS metadata can be found at: <http://geonames.usgs.gov/GNIS.html>
The availability of INEGI's topónimos data changes over time, and an interactive map of what is currently available can be viewed at: <http://antares.inegi.gob.mx/map/prueba/index.html?c=388>
Metadata for the INEGI topónimos data can be found at: <http://antares.inegi.gob.mx/bdg/bdg50con.html>
For
Time_Period_of_Content:
Time_Period_Information:
Multiple_Dates/Times:
Single_Date/Time:
Calendar_Date:
USGS GNIS Data 1974-2005 (
Single_Date/Time:
Calendar_Date: INGEI Topónimos Data: 1972-1999
Single_Date/Time:
Calendar_Date: IMIP Ciudad Juárez Data: 2004
Currentness_Reference: ground condition
Status:
Progress: In work
Maintenance_and_Update_Frequency: Unknown
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -117.512508
East_Bounding_Coordinate: -96.186128
North_Bounding_Coordinate: 34.745776
South_Bounding_Coordinate: 25.142055
Keywords:
Theme:
Theme_Keyword: GNIS
Theme_Keyword: Topónimos
Theme_Keyword: Border Health
Theme_Keyword:
Theme_Keyword:
Theme_Keyword: Geographic Names
Theme:
Theme_Keyword_Thesaurus: Library of Congress
Theme_Keyword: Environmental Health
Theme_Keyword: Water
Theme:
Theme_Keyword_Thesaurus: ISOI 19115 Topic Category
Theme_Keyword: imageryBaseMapsEarthCover
Theme_Keyword: Imagery and Base Maps
Place:
Place_Keyword_Thesaurus: Library of Congress
Place_Keyword: Mexican-American Border Region
Place_Keyword:
Place_Keyword:
Place_Keyword:
Access_Constraints:
None. The data are available for viewing at <http://borderhealth.cr.usgs.gov>
Use_Constraints:
There is no guarantee concerning the accuracy of the data. Users should be aware that temporal changes may have occurred since this data set was collected and that some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. Acknowledgement of the originating agencies would be appreciated in products derived from these data. Any user who modifies the data is obligated to describe the types of modifications they perform. User specifically agrees not to misrepresent the data, nor to imply that changes made were approved or endorsed by the U.S. Geological Survey. Please refer to <http://www.usgs.gov/privacy.html> for the USGS disclaimer.
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Public Information Officer
Contact_Organization:
Contact_Address:
Address_Type: mailing and physical address
Address:
City:
State_or_Province: TX
Postal_Code: 78754-4733
Country:
Contact_Voice_Telephone: 512-927-3500
Contact_Facsimile_Telephone: 512-927-3590
Contact_Electronic_Mail_Address: gs-w-txpublic-info@usgs.gov
Data_Set_Credit:
This dataset was created from data gathered by the USGS, INEGI, and IMIP.
Native_Data_Set_Environment:
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.2.2.1350
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
Data from several different agencies were reclassified to fit a generalized categorical system. This is an evolving process, and categories may change in future versions of this dataset to ensure consistency and eliminate redundancy. However, original classifications are preserved in the attributes through the use of SQL statements and Python scripts.
Logical_Consistency_Report:
These data were imported from other agencies' data, and all spatial properties were preserved. Database queries were used to ensure that imported fields were preserved as well. Fields whose values are derived from the imported fields were calculated and verified with scripts to prevent errors. Any errors that existed in the original datasets persist in this dataset.
Completeness_Report:
All available USGS GNIS data that were within 25 kilometers of the BEHI study area were used.
Most of the INEGI 50k quads within the BEHI study area contain data. Some quads are missing data due to one of the following reasons: 1) At the time this dataset was created, topónimos data were not available for the quad, 2) Due to financial limitations, the information was not able to be purchased from INEGI.
Below is a list of the INEGI 50k quads that are missing data in this dataset: H12B64, H13D54, H13D59, H14C62, H14C63, H13D74, H14C72, H13D86, H14C83, and G14A47. For Ciudad Juárez, all IMIP data in the categories listed in process step 2 were used.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
The USGS GNIS data is meant to be used on maps of 1:24,000 scale, but the INEGI topónimos data was created for 1:50,000 scale maps. IMIP data are accurate within +/- 5 meters.
Since the original datasets are of differing resolutions, scale suitabilty will depend on the extent of the displayed data.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: USGS
Publication_Date: 2006
Title: Geographic Names Information System (GNIS)
Geospatial_Data_Presentation_Form: tabular digital data
Online_Linkage: <http://geonames.usgs.gov/index.html>
Source_Scale_Denominator: 24,000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Multiple_Dates/Times:
Single_Date/Time:
Calendar_Date:
Single_Date/Time:
Calendar_Date:
Single_Date/Time:
Calendar_Date:
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: USGS 2006
Source_Contribution:
Source_Information:
Source_Citation:
Citation_Information:
Originator:
Instituto Nacional de Estadística Geografía e Informática (INEGI)
Title:
Conjunto de Datos Toponímicos XXXXXX de la Carta Topogáfica Escala 1:50,000 (YYYYYYYY) (where XXXXXX denotes the INEGI 50k quad number and YYYYYYYY denotes the INEGI 50k quad name)
Online_Linkage: <http://www.inegi.gob.mx/inegi/default.asp>
Online_Linkage: <http://antares.inegi.gob.mx/bdg/bdg50con.html>
Source_Scale_Denominator: 50,000
Type_of_Source_Media: CD-ROM
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1972
Beginning_Time: 1999
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: INEGI Topónimos
Source_Contribution:
INEGI topónimos data for the entire border area, except Ciudad Juárez and the quads listed under supplemental information, were imported into the binational GNIS dataset.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Instituto Municipal de Investigación y Planeación (IMIP)
Title:
streams.shp, monuments.shp, catholic_churches.shp, christian_churches.shp, govagencies.shp, cemeteries.shp, assemblyplants.shp, industrialparks.shp
Online_Linkage: <http://www.imip.org.mx/>
Source_Scale_Denominator: unknown
Type_of_Source_Media: CD-ROM
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2005
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: IMIP 2005
Source_Contribution:
IMIP supplied several feature
classes consisting of specific themes (e.g., churches, gas stations, assembly
plants, etc.) within the city of
Process_Step:
Process_Description:
Obtain data from USGS, INEGI, and IMIP. USGS GNIS data were downloaded from the GNIS website, the others were received by CD-ROM from the originators.
Source_Used_Citation_Abbreviation: USGS 2006
Source_Used_Citation_Abbreviation: INEGI Topónimos
Source_Used_Citation_Abbreviation: IMIP 2004
Process_Step:
Process_Description:
In order to merge the datasets, a generalized categorical system had to be developed. To ensure the integrity of the conversion process, scripts written in Python were used. This guarantees that each conversion went under the same process, and prevents errors that could be introduced by a user doing manual and tedious edits.
The categories for the new system are defined as follows:
1. Physical Features - Landforms that are defined by natural features. For example, a mountain, valley, ridge, crater, or woods.
2. Water Features - Water bodies, streams, or channels. For example, a canal, bay, lake, arroyo, or swamp.
3. Administrative Areas - Features whose boundaries are defined by an administrative agency. For example, a wildlife reserve, a park, or floodplains defined by governmental agencies.
4. School - Building or group of buildings used as an institution for study, teaching, and learning (academy, college, high school, university). (Later removed from this dataset. A stand-alone "School" layer was developed for k-12 schools)
5. Transportation - Features relating to ground transportation. This category does not include bridges. For example, a road, a train station, a trail, or a tunnel. (Might contain trail, crossing, tunnel, train station.)
6. Other - Items that do not fit into the other categories.
7. Valley - (This category was reclassified under category #1: Physical Features)
8. Unknown - Any classes that are undefined. In the final versions, these should have their classes defined, or it should be removed from the dataset.
9. Airport - Manmade facility maintained for the use of aircraft (airfield, airstrip, landing field, landing strip).
13. Utilities - A location where a business organization is performing a public service and subject to special governmental regulation. (electric company, pumping station, pipelines).
14. Dam - Water barrier or embankment built across the course of a stream or into a body of water to control and (or) impound the flow of water (breakwater, dike, jetty).
16. Locale - Place at which there is or was human activity; it does not include populated places, mines, and dams (battlefield, crossroad, camp, farm, ghost town, landing, railroad siding, ranch, ruins, site, station, windmill).
17. Mine - Place or area from which commercial minerals are or were removed from the Earth; not including oilfield (pit, quarry, shaft).
18. Military - Place or facility formerly used for various aspects of or relating to military activity.
19. Oilfield - Area where petroleum is or was removed from the Earth.
20. Tower - A manmade structure, higher than its diameter, generally used for observation, storage, or electronic transmission.
22. Well - Manmade shaft or hole in the Earth's surface used to obtain fluid or gaseous materials.
23. Industry - Place or area where manufacturing of various goods occurs.
The original
1 - Physical Features: {bar, island, plain, beach, cliff, levee, flat, basin, ridge, cape, pillar, gap, arch, area, summit, range, bench, slope, crater, lava, woods}
2 - Water Features: {stream, canal, bay, lake, spring, reservoir, harbor, bend, channel, falls, arroyo, swamp, gut}
3 - Administrative Areas: {park, civil, reserve, forest}
4 - School: {school}
5 - Transportation: {trail, crossing, tunnel}
6 - Other: No longer a valid category.
7 - Valley: {valley}
8 - Unknown: { }
9 - Airport: {airport}
10 - Bridge: {bridge}
11 - Building: {building, church, po}
12 - Cemetery: {cemetery}
13 - Utilities: { }
14 - Dam: {dam}
15 - Hospital: {hospital}
16 - Locale: {locale}
17 - Mine: {mine}
18 - Military: {military}
19 - Oilfield: {oilfield}
20 - Tower: {tower}
21 - Populated Place: {populated place}
22 - Well: {well}
23 - Industry: {industry}
The original INEGI data was reclassified into the binational categories as follows: (INEGI uses an integer classification system instead of a text description, but the textual descriptors are included below. Furthermore, all of these categories have been reviewed and approved by INEGI, and in some cases suggested by INEGI)
1 - Physical Features: {304 - Bajío, 307 - Boquerón, 311 - Ceja, 312 - Cerro, 313 - Cordón, 314 - Desierto de Altar, 315 - Cueva, 316 - Cumbre, 317 - Desierto, 323 - Isla Interior, 324 - Ladera, 325 - Llano, 326 - Loma, 329 - Mesa, 332 - Peña, 333 - Picacho, 334 - Pico, 335 - Puerto Orográfico, 338 - Rinconada, 341 - Sierra, 343 - Volcán, 347 - Grieta, 507 - Barra, 508 - Boca, 527 - Playa, 533 - Punta, 618 - Zona Geotérmica}
2 - Water Features: {214 - Canal, 241 - Estanque, 403 - Arroyo, 406 - Lago, 408 - Manantial, 409 - Meandro, 410 - Poza, 411 - Presa (vaso de la presa), 412 - Río, 416 - Zona Sujeta a Inundación, 417 - bordo (vaso del bordo), 418 - Abrevadero, 504 - Bahía, 517 - Estero, 518 - Golfo, 532 - Laguna}
3 -Administrative Areas: {218 - Distrito de riego , 607 - Parque, 609 - Parque marino nacional, 610 - Reserva de biósfera, 616 - Sitio Arqueológico, 617 - Zona Arqueologica, 618 - Zona Geotérmica}
4 - School: {243 - Centro de estudios superiores}
5 - Transportation: {210 - Calle, 219 - Estación de ferrocarril}
6 - Other: {222 - Monumento u Obelisco, 229 - Potrero, 261 - Granja, 262 - Campamento de Vigilancia, 264 - Establo, 519 - Isla Marítima, 520 - Islote}
7 - Valley: {305 - Barranca, 308 - Cañada, 309 - Cañón, 342- Valle, 322 - Hoya}
8 - Unknown: {}
9 - Airport: {205 - Aeropuerto}
10 - Bridge: {231 - Puente}
11 - Building: {223 - Observatorio, 244 - Centro de Investigación, 249 - Estación Terrestre de Telecommunicaciones, 258 - Centro Cultural}
12 - Cemetery: { }
13 - Utilities: {202 - Acueducto, 203 - Aduana, 220 - Gasoducto, 224 - Planta de bombeo, 225 - Planta de Tratamiento de Agua, 226 - Planta hidroeléctrica, 228 - Planta termoeléctrica, 235 - Subestación eléctrica, 259 - Almacenes de Depósito, 263 - Depósito de Deshechos, 269 - Reclusorio}
14 - Dam: {209 - Bordo (Muro de contención), 230 - Presa (cortina de la presa)}
15 - Hospital: { }
16 - Locale: {216 - Centro recreativo, 604 - Lugar}
17 - Mine: {208 - Banco
de Material, 234 -
18 - Military: { }
19 - Oilfield: {213 - Campo petrolero}
20 - Tower: {206 - Antena de Radio, 207 - Antena de Televisión, 236 - Torre de microondas}
21 - Populated Place: {100 - Localidad}
22 - Well: { }
23 - Industry: {250 - Ingenio, 254 - Planta Siderúrgica, 255 - Planta Despepitadora, 257 - Zona Industrial}
The original IMIP data was reclassified into the binational categories as follows:
1 - Physical Features: { }
2 - Water Features: {Streams}
3 - Administrative Areas: { }
4 - School: { }
5 - Transportation: { }
6 - Other: {Monuments}
7 - Valley: { }
8 - Unknown: { }
9 - Airport: { }
10 - Bridge: { }
11 - Building: {Catholic churches,
12 - Cemetery: {Cemeteries}
13 - Utilities: { }
14 - Dam: { }
15 - Hospital: { }
16 - Locale: { }
17 - Mine: { }
18 - Military: { }
19 - Oilfield: { }
20 - Tower: { }
21 - Populated Place: { }
22 - Well: { }
23 - Industry: {Assembly plants, Industrial Parks}
Source_Used_Citation_Abbreviation: USGS 2006
Source_Used_Citation_Abbreviation: INEGI Topónimos
Source_Used_Citation_Abbreviation: IMIP 2004
Process_Step:
Process_Description:
Once all the data were converted, they were merged together into one feature class with the following attributes.
binat_gnis_type: The new category that it fits in, 1-23
binat_name: The name of the feature
origin: The original classification. (integer for INEGI data, text for USGS/IMIP data) The text description for the IMIP data is also the name of the file that it came in.
source_agencies: The agency that supplied that particular record. It is an integer that references a domain.
master_id: The original ID#. This can be used to find the original record from the original agency or file. USGS data has a master_id that is a unique identifier for the entire GNIS database. INEGI data did not have a master ID. IMIP data use an ID that references the file it came from.
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Vector
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: Entity point
Point_and_Vector_Object_Count: 66434
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: Albers Conical Equal Area
Albers_Conical_Equal_Area:
Standard_Parallel: 27.000000
Standard_Parallel: 33.000000
Longitude_of_Central_Meridian: -107.000000
Latitude_of_Projection_Origin: 30.000000
False_Easting: 0.000000
False_Northing: 0.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 0.001537
Ordinate_Resolution: 0.001537
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.000000
Denominator_of_Flattening_Ratio: 298.257222
Vertical_Coordinate_System_Definition:
Altitude_System_Definition:
Altitude_Resolution: 0.000010
Altitude_Encoding_Method:
Explicit elevation coordinate included with horizontal coordinates
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: binat_GNIS_bw
Entity_Type_Definition:
This feature class is a binational compilation of geographic names data (points of physical/cultural interest) that can be used on maps of 1:50,000 scale or less.
Entity_Type_Definition_Source: author
Attribute:
Attribute_Label: OBJECTID
Attribute_Definition: Internal feature number.
Attribute_Definition_Source: ESRI
Attribute_Domain_Values:
Unrepresentable_Domain:
Sequential unique whole numbers that are automatically generated.
Attribute:
Attribute_Label: SHAPE
Attribute_Definition: Feature geometry.
Attribute_Definition_Source: ESRI
Attribute_Domain_Values:
Unrepresentable_Domain: Coordinates defining the features.
Attribute:
Attribute_Label: binat_gnis_type
Attribute_Definition:
The new Geographic Names type (ex. Physical features, Water features, Bridge, etc.). The data type is an integer ranging from 1-3,5-14, or 16-23 that references a Domain in the geodatabase.
Attribute_Definition_Source:
The original data types and their new binational GNIS categories are listed in the under process step #2.
Attribute:
Attribute_Label: binat_name
Attribute_Definition: The name of the Geographic Feature.
Attribute_Definition_Source:
This value is derived form the original source, USGS, INEGI, or IMIP.
Attribute:
Attribute_Label: origin
Attribute_Definition:
The original Geographic Names type as classified by the source of the data. For USGS data, it is a text descriptor. INEGI data used an integer descriptor. IMIP data were sorted into shapefiles of single types, so the origin value for IMIP data is the name of the shapefile from which it was derived.
Attribute_Definition_Source:
This value is derived form the original source, USGS, INEGI, or IMIP.
Attribute:
Attribute_Label: source_agencies
Attribute_Definition:
The agency that supplied a particular record's data. It is an integer that references a domain in the geodatabase.
Attribute:
Attribute_Label: master_id
Attribute_Definition:
If available, the original ID# assigned by the agency that supplied the data. USGS data all have a master ID# that serves as a unique identifier for the entire GNIS database. The INEGI data did not include a unique identifier. IMIP data references an ID that was unique within the shapefile that the data was derived from
Attribute_Definition_Source:
This value is derived form the original source, USGS, INEGI, or IMIP.
Distribution_Information:
Distributor:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Public Information Officer
Contact_Organization:
Contact_Voice_Telephone: 512-927-3500
Contact_Facsimile_Telephone: 512-927-3590
Contact_Electronic_Mail_Address: gs-w-txpublic-info@usgs.gov
Resource_Description: Downloadable Data
Distribution_Liability:
These data have not received Director's approval and as such are provisional and subject to revision. The data are released on the condition that neither the U.S. Geological Survey, its cooperators, nor the United States Government may be held liable for any damages resulting from its authorized or unauthorized use. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the accuracy or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.
Metadata_Reference_Information:
Metadata_Date: 20080213
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Delbert Humberson
Contact_Organization:
Contact_Address:
Address_Type: mailing and physical address
Address:
City:
State_or_Province:
Postal_Code: 78754-4733
Country:
Contact_Voice_Telephone: 512-927-3500
Contact_Facsimile_Telephone: 512-927-3590
Contact_Electronic_Mail_Address: gs-w-txpublic-info@usgs.gov
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time
Metadata_Extensions:
Online_Linkage: <http://www.esri.com/metadata/esriprof80.html>
Profile_Name: ESRI Metadata Profile
Generated by mp version 2.8.6 on Wed Feb 13 16:21:03 2008