This dataset provides an initial version of the generalized physical boundaries of New Mexico State Parks, in polygonal form with limited attributes, compiled using available data from a variety of sources. The boundaries have been digitized from AutoCAD drawings and/or from legal descriptions, supplemented by digital orthophotography cross-checking, and adjusted to the GCDB when possible. The dataset will be refined in the future to include other attributes and provide better accuracy.
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These two shapefiles represent New Mexico NHD High Resolution stream segments and waterbodies, merged and clipped to the state boundary. RAW NHD High Resolution data, including additional layer files, is available from: https://viewer.nationalmap.gov/basic/
Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
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The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The boundaries for counties and equivalent entities are as of January 1, 2018, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).
The geologic map was created in GSMAP at Socorro, New Mexico by Orin Anderson and Glen Jones and published as the Geologic Map of New Mexico 1:500,000 in GSMAP format in 1994. This graphic file was converted to ARC/INFO format by Greb Green and GlenJones and released as the Geologic Map of New Mexico in ARC/INFO format in 1997. This shapefile only shows the volcanic vents for New Mexico, that are used on the Digital Geologic Map for New Mexico.
The geologic map was created in GSMAP at Socorro, New Mexico by Orin Anderson and Glen Jones and published as the Geologic Map of New Mexico 1:500,000 in GSMAP format in 1994. This graphic file was converted to ARC/INFO format by Greb Green and GlenJones and released as the Geologic Map of New Mexico in ARC/INFO format in 1997.
Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
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The TIGER/Line Shapefiles are an extract of selected geographic and cartographic information from the Census MAF/TIGER database. The Census MAF/TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each TIGER/Line Shapefile is designed to stand alone as an independent data set or the shapefiles can be combined to cover the whole nation.
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This dataset has a data dictionary that can be downloaded here. The NM Office of the State Engineer (OSE) "Point of Diversions" (POD) layer includes well locations, surface declarations, or surface permits. These data were extracted from the OSE W.A.T.E.R.S. (Water Administration Technical Engineering Resource System) database and geo-located (mapped). These data have varying degrees of accuracy and have not been validated. This message is to alert users of this data to various changes regarding how this POD data is generated and maintained by the NM Office of the State Engineer. In addition, all attribute fields are fully described in the metadata, including descriptions of field codes. Please read the metadata accompanying this GIS data layer for further information. Any questions regarding this GIS data should be directed NM OSE Information Technology Systems Bureau GIS at the contact information given below. Stephen N. Hayes NMOSE ITSB GIS Data Manager(505) 827-6321 PO Box 25102 Santa Fe, NM 87504 stephen.hayes@ose.nm.gov
U.S. Government Workshttps://www.usa.gov/government-works
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Forest Health - Insect and Disease GIS data that encompass the Southwestern Region (Arizona, New Mexico) are available for download from this page. A link to the FGDC compliant metadata is provided for each dataset. All data are in zipped shapefile format, in the following projection: Lambert Conformal Conic 1st standard parallel: 32° 0' 0" 2nd standard parallel: 36° 0' 0" Central meridian: -108° 0' 0" Units: Meters Datum: NAD 1983 Resources in this dataset:Resource Title: Forest Health – Insect Disease GIS Data. File Name: Web Page, url: https://www.fs.usda.gov/detail/r3/landmanagement/gis/?cid=stelprd3805189
Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automatically
The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The boundaries of most incorporated places in this shapefile are as of January 1, 2015, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.
This shapefile contains the boundary of the Eastern New Mexico University - Roswell special voting district, from the State of New Mexico, as a polygon feature. It was collected/created by the Earth Data Analysis Center, The University of New mexico (EDAC), for the New Mexico Office of the Secretary of State (NMSOS). It is part of an effort to create a GIS data repository of all voting districts in the State of New Mexico, accessible for download at http://rgis.unm.edu/rgis6/ , under RGIS > SOS Voting Districts. This data is current as of Spring 2019, and will be updated as newer data becomes available from an authoritative source. For information about how special voting district boundaries were processed, see "Lineage"/"Processing Steps".
Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automatically
New Mexico Road Centerline Point data are an aggregated resource for road centerlines across the state. These data are contributed by local governments for NM911 Program purposes.
This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer
This shapefile contains the boundaries of County Commission Districts in the State of New Mexico, as a polygon feature. The data was collected/created by the Earth Data Analysis Center, The University of New Mexico (EDAC), for the New Mexico Office of the Secretary of State (NMSOS). It is part of an effort to create a GIS data repository of all voting districts in the State of New Mexico, accessible for download at http://rgis.unm.edu/rgis6/ , under RGIS > SOS Voting Districts. This data is current as of July 2021, and will be updated as newer data becomes available from an authoritative source. For information about how the County Commission District boundaries were processed, see "Lineage"/"Processing Steps".
This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.
The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Address Ranges Feature Shapefile (ADDRFEAT.dbf) contains the geospatial edge geometry and attributes of all unsuppressed address ranges for a county or county equivalent area. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. Single-address address ranges have been suppressed to maintain the confidentiality of the addresses they describe. Multiple coincident address range feature edge records are represented in the shapefile if more than one left or right address ranges are associated to the edge. The ADDRFEAT shapefile contains a record for each address range to street name combination. Address range associated to more than one street name are also represented by multiple coincident address range feature edge records. Note that the ADDRFEAT shapefile includes all unsuppressed address ranges compared to the All Lines Shapefile (EDGES.shp) which only includes the most inclusive address range associated with each side of a street edge. The TIGER/Line shapefile contain potential address ranges, not individual addresses. The address ranges in the TIGER/Line Files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.
This shapefile contains the boundary of the El Prado Water and Sanitation District special voting district, from the State of New Mexico, as a polygon feature. It was collected/created by the Earth Data Analysis Center, The University of New mexico (EDAC), for the New Mexico Office of the Secretary of State (NMSOS). It is part of an effort to create a GIS data repository of all voting districts in the State of New Mexico, accessible for download at http://rgis.unm.edu/rgis6/ , under RGIS > SOS Voting Districts. This data is current as of Spring 2019, and will be updated as newer data becomes available from an authoritative source. For information about how special voting district boundaries were processed, see "Lineage"/"Processing Steps".
This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.
The documentation below is in reference to this items placement in the NM Supply Chain Data Hub. The documentation is of use to understanding the source of this item, and how to reproduce it for updatesTitle: HSD Data Book 2022Item Type: URLSummary: Health and Human Services Department of New Mexico 2022 Data Book. For a link to the download page with County Fact Sheets, and other data, see here: https://www.hsd.state.nm.us/2022-data-book/Notes: Link to PDF maintained by HSDPrepared by: Uploaded by EMcRae_NMCDCSource: Health and Human Services Dept Feature Service: https://nmcdc.maps.arcgis.com/home/item.html?id=ba99c113ced244bbbeb4026da10bb98aUID: 73Data Requested: Annual data book on socioeconomic population healthMethod of Acquisition: Published publicly online by HSDDate Acquired: May 2022Priority rank as Identified in 2022 (scale of 1 being the highest priority, to 11 being the lowest priority): 6Tags: PENDING
This shapefile contains the boundary of the Alto Lakes Water and Sanitation District special voting district, from the State of New Mexico, as a polygon feature. It was collected/created by the Earth Data Analysis Center, The University of New mexico (EDAC), for the New Mexico Office of the Secretary of State (NMSOS). It is part of an effort to create a GIS data repository of all voting districts in the State of New Mexico, accessible for download at http://rgis.unm.edu/rgis6/ , under RGIS > SOS Voting Districts. This data is current as of Spring 2019, and will be updated as newer data becomes available from an authoritative source. For information about how special voting district boundaries were processed, see "Lineage"/"Processing Steps".
This shapefile contains the boundary of the Alto Lakes SPecial Zoning District special voting district, from the State of New Mexico, as a polygon feature. It was collected/created by the Earth Data Analysis Center, The University of New mexico (EDAC), for the New Mexico Office of the Secretary of State (NMSOS). It is part of an effort to create a GIS data repository of all voting districts in the State of New Mexico, accessible for download at http://rgis.unm.edu/rgis6/ , under RGIS > SOS Voting Districts. This data is current as of Fall 2023, and will be updated as newer data becomes available from an authoritative source. For information about how special voting district boundaries were processed, see "Lineage"/"Processing Steps".
This dataset provides an initial version of the generalized physical boundaries of New Mexico State Parks, in polygonal form with limited attributes, compiled using available data from a variety of sources. The boundaries have been digitized from AutoCAD drawings and/or from legal descriptions, supplemented by digital orthophotography cross-checking, and adjusted to the GCDB when possible. The dataset will be refined in the future to include other attributes and provide better accuracy.