4 datasets found
  1. a

    Roads NM RG

    • geospatialcentroid-csurams.hub.arcgis.com
    Updated May 20, 2020
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    Colorado State University (2020). Roads NM RG [Dataset]. https://geospatialcentroid-csurams.hub.arcgis.com/maps/CSUrams::roads-nm-rg-1/about
    Explore at:
    Dataset updated
    May 20, 2020
    Dataset authored and provided by
    Colorado State University
    Area covered
    Description

    New Mexico roads within the Rio Grande River Basin. 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.Primary roads are generally divided, limited-access highways within the interstate highway system or under State management, and are distinguished by the presence of interchanges. These highways are accessible by ramps and may include some toll highways. The MAF/TIGER Feature Classification Code (MTFCC) is S1100 for primary roads. Secondary roads are main arteries, usually in the U.S. Highway, State Highway, and/or County Highway system. These roads have one or more lanes of traffic in each direction, may or may not be divided, and usually have at-grade intersections with many other roads and driveways. They usually have both a local name and a route number. The MAF/TIGER Feature Classification Code (MTFCC) is S1200 for secondary roads.

  2. a

    Relative Difference, 2002

    • hub.arcgis.com
    Updated Nov 14, 2017
    + more versions
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    Larry Spear's GIS Research Projects (2017). Relative Difference, 2002 [Dataset]. https://hub.arcgis.com/maps/lspe::relative-difference-2002
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    Dataset updated
    Nov 14, 2017
    Dataset authored and provided by
    Larry Spear's GIS Research Projects
    Area covered
    Description

    Results from a New Mexico county based gravity model measuring geographic accessibility using 2015 population and physician data. Both Euclidean and road distance measures were used. The relative difference between the Euclidean and road distance measures is presented. An IDW interpolation for road distance results is presented in addition choropleth maps. The 2015 census population estimates are from UNM-GPS and the 2015 primary care physician estimates were obtained from the New Mexico Health Care Workforce Committee, 2016 Annual Report: (http://hsc.unm.edu/assets/doc/economic-development/nmhcwc-presentation-2016.PDF).Additional results from a New Mexico Census Tract based gravity model measuring geographic accessibility using 2002 population and physician data. Both Euclidean and road distance measures were used. The relative difference between the Euclidean and road distance measures is presented. An IDW interpolation for road distance results is presented in addition choropleth maps. The 2015 census population estimates are from UNM-GPS and the 2002 primary care physicians estimates were from the Division of Government Research, UNM as part of work performed for the New Mexico Health Policy Commission from 1998 through 2002.Note: both choropleth and IDW interpolation examples are presented.More information at: (http://www.unm.edu/~lspear/health_stuff.html).

  3. a

    Road Centerline

    • hub.arcgis.com
    Updated Nov 6, 2019
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    City of Las Cruces, New Mexico (2019). Road Centerline [Dataset]. https://hub.arcgis.com/maps/las-cruces::road-centerline
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    Dataset updated
    Nov 6, 2019
    Dataset authored and provided by
    City of Las Cruces, New Mexico
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This service displays polylines for the roads in Las Cruces and major roads in the county. Data is updated, maintained and published from the enterprise GIS database to reflect the most recent information for the City of Las Cruces. Layer Type: PolylineData Owner: Community DevelopmentAuthoritative: YesDownloadable: YesInitial Dataset Creation: UnknownLast update: UnknownUpdate Frequency: As necessary Reason for Update: City development changes Filters Applied: Active roads onlySource data: N/AProjected Coordinate System: N/ALimitations:

  4. a

    New Mexico Crash Data

    • chi-phi-nmcdc.opendata.arcgis.com
    Updated Feb 9, 2023
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    New Mexico Community Data Collaborative (2023). New Mexico Crash Data [Dataset]. https://chi-phi-nmcdc.opendata.arcgis.com/maps/1eb1c31cef454300a5f337e94cd14dbb
    Explore at:
    Dataset updated
    Feb 9, 2023
    Dataset authored and provided by
    New Mexico Community Data Collaborative
    Area covered
    Description

    TITLE: Motor Vehicle Crashes, New Mexico, 2020- NMCRASHDATA2020

    SUMMARY: All motor vehicle crashes locations in New Mexico updated for the year 2020, with information about injuries and other characteristics.

    SOURCE: NM Department of Transportation; geocoded by NMDOT and UNM TRU

    NOTE: POINT FILE. N=45,915; Geocoded by NMDOT-TRU

    FEATURE SERVICE: https://nmcdc.maps.arcgis.com/home/item.html?id=5d9a0e1e56ec4b60bc115f9fdbf26c09

    PREPARED BY: M.A. SEELEY, NMCDC

    2020

    VARIABLE DEFINITION

    UCRnumber CRASH REPORT NUMBER

    CrashDate CRASH DATE

    Year CRASH YEAR

    Month MONTH

    CrashTime TIME OF CRASH

    Hour HOUR OF CRASH

    Day DAY OF WEEK

    Agency LAW ENFORCEMENT AGENCY

    County COUNTY

    City CITY

    AStreet PRIMARY STREET

    Bstreet SECONDARY STREET

    Landmark LANDMARK/LOCATION

    GIS_Route GIS-DERIVED ROUTE NAME

    GIS_Milepo GIS-DERIVED MILEPOST

    Dir CRASH DIRECTION

    Ldir DIRECTION FROM INTERSECTION OR LANDMARK

    Distance DISTANCE FROM LANDMARK

    Measure DISTANCE FROM LANDMARK MEASUREMENT UNIT

    Severity CRASH SEVERITY

    Killed NUMBER OF PEOPLE KILLED IN CRASH

    ClassA NUMBER OF PEOPLE WITH SUSPECTED SERIOUS INJURIES (CLASS A) IN CRASH

    ClassB NUMBER OF PEOPLE WITH SUSPECTED MINOR INJURIES (CLASS B) IN CRASH

    ClassC NUMBER OF PEOPLE WITH POSSIBLE INJURIES (CLASS C) IN CRASH

    TOTINJFAT NUMBER OF PEOPLE INJURED (CLASS A+B+C) IN CRASH

    Unhurt NUMBER OF PEOPLE NOT INJURED (CLASS O) IN CRASH

    Total TOTAL NUMBER OF PEOPLE IN CRASH

    nVeh NUMBER OF VEHICLES, BICYCLES, AND PEDESTRIANS INVOLVED

    PeopleMV NUMBER OF PEOPLE IN MOTOR VEHICLES

    NoPeopleMV NUMBER OF PEOPLE NOT IN MOTOR VEHICLES

    Mvinv NUMBER OF MOTOR VEHICLES INVOLVED

    HarmOcc FIRST HARMFUL EVENT OCCURRED

    Class CRASH CLASSIFICATION

    Analysis CRASH ANALYSIS

    HarmEvent FIRST HARMFUL EVENT

    HarmAnalys FIRST HARMFUL EVENT - ANALYSIS

    1HarmLoc FIRST HARMFUL EVENT – LOCATION

    1HarmImpac FIRST HARMFUL EVENT – MANNER OF IMPACT

    1HarmCrash FIRST HARMFUL EVENT – MANNER OF CRASH

    Weather WEATHER

    AddWeather ADDITIONAL WEATHER

    LIGHTING LIGHTING

    HitRun HIT AND RUN CRASH

    ALCinv ALCOHOL INVOLVEMENT

    DRUGinv DRUG INVOLVEMENT

    PEDinv PEDESTRIAN INVOLVEMENT

    MCinv MOTORCYCLE INVOLVEMENT

    PECinv PEDALCYCLE INVOLVEMENT

    TRKinv HEAVY TRUCK INVOLVEMENT

    COMMinv COMMERICAL MOTOR VEHICLE INVOLVEMENT

    SCHBUSinv SCHOOL BUS DIRECT INVOLVEMENT

    HAZMATinv HAZARDOUS MATERIAL INVOLVEMENT

    NONLOCinv INVOLVEMENT OF NON-LOCAL DRIVER

    STHWYprop STATE HIGHWAY DEPT. PROPERTY

    RoadSystem ROAD SYSTEM: URBAN, RURAL OR RURAL INTERSTATE

    MaxDam MAXIMUM VEHICLE DAMAGE

    WorkZone WORK ZONE

    WRKZNtype WORK ZONE - TYPE

    WRKZNloc WORK ZONE – LOCATION

    RoadCharac ROAD CHARACTER

    RoadGrade ROAD GRADE

    Intersect INTERSECTION TYPE

    Relation RELATION TO JUNCTION

    Secondary SECONDARY CRASH

    Tribal TRIBAL JURISDICTION

    GIS_Reserv GIS-DERIVED RESERVATION

    GIS_STHWY GIS-DERIVED STATE HIGHWAY TRANSPORTATION DISTRICT

    GIS_STPol GIS-DERIVED STATE POLICE DISTRICT

    GIS_HWMain GIS-DERIVED STATE HIGHWAY MAINTENANCE DISTRICT

    GIS_UTMX GIS-DERIVED UTM X COORDINATE

    GIS_UTMY GIS-DERIVED UTM Y COORDINATE

    GIS_Lat GIS-DERIVED LATITUDE COORDINATE

    GIS_Long GIS-DERIVED LONGITUDE COORDINATE

    ORIGLat ORIGINAL LATITUDE

    ORIGLong ORIGINAL LONGITUDE

    UCRorig ORIGINAL UCR NUMBER

    CaseNumber CASE NUMBER

    StationRep STATION REPORT

    TRACSdata TRACS DATA

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Share
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Click to copy link
Link copied
Close
Cite
Colorado State University (2020). Roads NM RG [Dataset]. https://geospatialcentroid-csurams.hub.arcgis.com/maps/CSUrams::roads-nm-rg-1/about

Roads NM RG

Explore at:
Dataset updated
May 20, 2020
Dataset authored and provided by
Colorado State University
Area covered
Description

New Mexico roads within the Rio Grande River Basin. 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.Primary roads are generally divided, limited-access highways within the interstate highway system or under State management, and are distinguished by the presence of interchanges. These highways are accessible by ramps and may include some toll highways. The MAF/TIGER Feature Classification Code (MTFCC) is S1100 for primary roads. Secondary roads are main arteries, usually in the U.S. Highway, State Highway, and/or County Highway system. These roads have one or more lanes of traffic in each direction, may or may not be divided, and usually have at-grade intersections with many other roads and driveways. They usually have both a local name and a route number. The MAF/TIGER Feature Classification Code (MTFCC) is S1200 for secondary roads.

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