Railroads - 50k - Canvec
CSW_BASE_CANVEC.RAILROAD_LN_50K
2016-03-07T00:00:00
2017-03-09T00:00:00
1.0
<div style='text-align:Left;'><div><div><p><span>Transport Features is composed of, among others, the National Road Network (NRN) and the National Railway Network (NRWN). Transport Features entities are: Nautical Facility, Track Segment, Track Junction, Railway Station, Track Crossing, Track Marker Post, Track Structure, Rail Ferry, Road Segment, Road Ferry, Road Junction, Blocked Passage, Toll Point, Aerial Cableway, Footbridge, Trail, Navigational Aid, Marina, and Runway. CanVec is a digital cartographic reference product of Natural Resources Canada (NRCan). It originates from the best available data sources covering Canadian territory, offers quality topographical information in vector format and complies with international geomatics standards. CanVec is a multi-source product coming mainly from the National Topographic Data Base (NTDB), the Mapping the North process conducted by the Canada Center for Mapping and Earth Observation (CCMEO), the Atlas of Canada data, the GeoBase initiative and the data update using satellite imagery coverage (e.g. Landsat 7, Spot, Radarsat, etc.).</span></p><p style='margin:0 0 11 0;'><span><span>Distributed from </span></span><a href='https://yukon.ca/geoyukon' rel='nofollow ugc' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>GeoYukon</span></span></a><span><span> by the </span></span><a href='https://yukon.ca/maps' rel='nofollow ugc' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>Government of Yukon</span></span></a><span><span>. Discover more digital map data and interactive maps from Yukon’s digital map data collection.</span></span></p><p style='margin:0 0 11 0;'><span><span>For more information: </span></span><a href='mailto:geomatics.help@gov.yk.ca' rel='nofollow ugc' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>geomatics.help@gov.yk.ca</span></span></a></p></div></div></div>
The transport features of the CanVec series are derived from the National Road Network (NRN) and the National Railway Network (NRWN). The dataset describes roads, trails, bridges, railroads and their related information. The transport features include nautical facilities, track segments, track junctions, railway stations, track crossings, track marker posts, track structures, rail ferry segments, road segments, road ferry segments, road junctions, blocked passages, toll points, aerial cableway features, footbridges, trails, navigational aids, marinas and runways.
Government of Yukon on behalf of Natural Resources Canada
Esri ArcGIS 10.5.1.7333
250000
Earth ScienceCanVecTransportInfrastructureGeoYukonYukon
Earth Science
CanVec
Transport
Infrastructure
1
-135.232533
-134.664793
59.624433
60.743098
1
-135.232533
-134.664793
59.624433
60.743098
Government of Canada; Natural Resources Canada; Earth Sciences Sector
NRCan.geogratis-geogratis.RNCan@canada.ca
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Open Government Licence - Canada (</SPAN><A href="https://open.canada.ca:443/en/open-government-licence-canada" STYLE="text-decoration:underline;"><SPAN>https://open.canada.ca/en/open-government-licence-canada</SPAN></A><SPAN>)</SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN>Open Government Licence - Yukon (</SPAN><A href="https://open.yukon.ca:443/data/open-government-licence-yukon" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>https://open.yukon.ca/data/open-government-licence-yukon</SPAN></SPAN></A><SPAN>)</SPAN></P></DIV></DIV></DIV>
It originates from the best available data sources covering Canadian territory, offers quality topographical information in vector format, and complies with international geomatics standards. CanVec is a multi-source product coming mainly from the National Topographic Data Base (NTDB), the Mapping the North process conducted by the Canada Center for Mapping and Earth Observation (CCMEO), the Atlas of Canada data, the GeoBase initiative, and the data update using satellite imagery coverage (e.g. Landsat 7, Spot, Radarsat, etc.).
https://map-data.service.yukon.ca/GeoYukon/Transportation/Railroads_50k_Canvec/
https://yukon.maps.arcgis.com/home/item.html?id=1daba096b36444f487542140caf233f4
Feature Class
10.4.1
24
CSW_BASE_CANVEC.RAILROAD_LN_50K
Feature Class
24
OBJECTID
OBJECTID
Internal feature number.
Esri
OID
4
10
0
Sequential unique whole numbers that are automatically generated.
FEATURE_ID
FEATURE_ID
String
64
0
0
MD_SECURITY_CLASSIFICATION
MD_SECURITY_CLASSIFICATION
SmallInteger
2
5
0
POLITICAL_DIVISION
POLITICAL_DIVISION
SmallInteger
2
5
0
MD_ATTR_ACQUISITION_TECHNIQ
MD_ATTR_ACQUISITION_TECHNIQ
SmallInteger
2
5
0
MD_ATTR_CREATION_DATE
MD_ATTR_CREATION_DATE
String
20
0
0
MD_ATTR_TEMP_EXTENT_DATE_MIN
MD_ATTR_TEMP_EXTENT_DATE_MIN
String
20
0
0
MD_ATTR_TEMP_EXTENT_DATE_MAX
MD_ATTR_TEMP_EXTENT_DATE_MAX
String
20
0
0
MD_ATTR_PROVIDER
MD_ATTR_PROVIDER
SmallInteger
2
5
0
MD_GEOM_ACQUISITION_TECHNIQ
MD_GEOM_ACQUISITION_TECHNIQ
SmallInteger
2
5
0
MD_GEOM_CREATION_DATE
MD_GEOM_CREATION_DATE
String
20
0
0
MD_GEOM_TEMP_EXTENT_DATE_MIN
MD_GEOM_TEMP_EXTENT_DATE_MIN
String
20
0
0
MD_GEOM_TEMP_EXTENT_DATE_MAX
MD_GEOM_TEMP_EXTENT_DATE_MAX
String
20
0
0
MD_GEOM_HORIZ_POS_ACCURACY_MIN
MD_GEOM_HORIZ_POS_ACCURACY_MIN
Double
8
38
8
MD_GEOM_HORIZ_POS_ACCURACY_MAX
MD_GEOM_HORIZ_POS_ACCURACY_MAX
Double
8
38
8
MD_GEOM_PROVIDER
MD_GEOM_PROVIDER
SmallInteger
2
5
0
NUMBER_OF_TRACKS
NUMBER_OF_TRACKS
SmallInteger
2
5
0
TRACK_REGULATOR
TRACK_REGULATOR
SmallInteger
2
5
0
TRACK_CLASSIFICATION
TRACK_CLASSIFICATION
SmallInteger
2
5
0
FREIGHT_TRAIN_SPEED
FREIGHT_TRAIN_SPEED
SmallInteger
2
5
0
FREIGHT_TRAIN_SPEED_UNIT
FREIGHT_TRAIN_SPEED_UNIT
SmallInteger
2
5
0
FREIGHT_TRAIN_SPEED_UNIT_S
FREIGHT_TRAIN_SPEED_UNIT_S
SmallInteger
2
5
0
PASSENGR_TRAIN_SPEED
PASSENGR_TRAIN_SPEED
SmallInteger
2
5
0
PASSENGR_TRAIN_SPEED_UNIT
PASSENGR_TRAIN_SPEED_UNIT
SmallInteger
2
5
0
PASSENGR_TRAIN_SPEED_UNIT_S
PASSENGR_TRAIN_SPEED_UNIT_S
SmallInteger
2
5
0
OPERATR_NAME_EN
OPERATR_NAME_EN
String
100
0
0
OPERATR_NAME_FR
OPERATR_NAME_FR
String
100
0
0
OPERATR_REPORTING_MARK
OPERATR_REPORTING_MARK
String
50
0
0
OPERATR_SUBD_PORTION_START
OPERATR_SUBD_PORTION_START
Double
8
38
8
OPERATR_SUBD_PORTION_END
OPERATR_SUBD_PORTION_END
Double
8
38
8
OPERATR_SUBD_PORTION_MEAS_T
OPERATR_SUBD_PORTION_MEAS_T
SmallInteger
2
5
0
OPERATR_SUBD_PORTION_UNIT
OPERATR_SUBD_PORTION_UNIT
SmallInteger
2
5
0
OPERATR_SUBD_PORTION_UNIT_S
OPERATR_SUBD_PORTION_UNIT_S
SmallInteger
2
5
0
TRACK_GEOBASE_NID
TRACK_GEOBASE_NID
String
64
0
0
IS_ELECTRIFIED
IS_ELECTRIFIED
SmallInteger
2
5
0
TRACK_USE
TRACK_USE
SmallInteger
2
5
0
TRACK_GAUGE
TRACK_GAUGE
SmallInteger
2
5
0
TRACK_MODE
TRACK_MODE
SmallInteger
2
5
0
TRACK_NAME_EN
TRACK_NAME_EN
String
100
0
0
TRACK_NAME_FR
TRACK_NAME_FR
String
100
0
0
TRACK_SOURCE_ID
TRACK_SOURCE_ID
String
64
0
0
TRACK_STATUS
TRACK_STATUS
SmallInteger
2
5
0
TRACK_OWNER_NAME_EN
TRACK_OWNER_NAME_EN
String
100
0
0
TRACK_OWNER_NAME_FR
TRACK_OWNER_NAME_FR
String
100
0
0
TRACK_USER_1_NAME_EN
TRACK_USER_1_NAME_EN
String
100
0
0
TRACK_USER_2_NAME_EN
TRACK_USER_2_NAME_EN
String
100
0
0
TRACK_USER_3_NAME_EN
TRACK_USER_3_NAME_EN
String
100
0
0
TRACK_USER_4_NAME_EN
TRACK_USER_4_NAME_EN
String
100
0
0
TRACK_USER_5_NAME_EN
TRACK_USER_5_NAME_EN
String
100
0
0
TRACK_USER_1_NAME_FR
TRACK_USER_1_NAME_FR
String
100
0
0
TRACK_USER_2_NAME_FR
TRACK_USER_2_NAME_FR
String
100
0
0
TRACK_USER_3_NAME_FR
TRACK_USER_3_NAME_FR
String
100
0
0
TRACK_USER_4_NAME_FR
TRACK_USER_4_NAME_FR
String
100
0
0
TRACK_USER_5_NAME_FR
TRACK_USER_5_NAME_FR
String
100
0
0
TRACK_USER_1_REPORTING_MARK
TRACK_USER_1_REPORTING_MARK
String
50
0
0
TRACK_USER_2_REPORTING_MARK
TRACK_USER_2_REPORTING_MARK
String
50
0
0
TRACK_USER_3_REPORTING_MARK
TRACK_USER_3_REPORTING_MARK
String
50
0
0
TRACK_USER_4_REPORTING_MARK
TRACK_USER_4_REPORTING_MARK
String
50
0
0
TRACK_USER_5_REPORTING_MARK
TRACK_USER_5_REPORTING_MARK
String
50
0
0
RAIL_SUBDIVISION_1_GEOBASE_NID
RAIL_SUBDIVISION_1_GEOBASE_NID
String
64
0
0
RAIL_SUBDIVISION_1_NAME_EN
RAIL_SUBDIVISION_1_NAME_EN
String
100
0
0
RAIL_SUBDIVISION_1_NAME_FR
RAIL_SUBDIVISION_1_NAME_FR
String
100
0
0
RAIL_SUBDIVISION_1_START
RAIL_SUBDIVISION_1_START
Double
8
38
8
RAIL_SUBDIVISION_1_END
RAIL_SUBDIVISION_1_END
Double
8
38
8
RAIL_SUBDIVISION_1_MEASUR_T
RAIL_SUBDIVISION_1_MEASUR_T
SmallInteger
2
5
0
RAIL_SUBDIVISION_1_UNIT
RAIL_SUBDIVISION_1_UNIT
SmallInteger
2
5
0
RAIL_SUBDIVISION_1_UNIT_S
RAIL_SUBDIVISION_1_UNIT_S
SmallInteger
2
5
0
RAIL_SUBDIVISION_2_GEOBASE_NID
RAIL_SUBDIVISION_2_GEOBASE_NID
String
64
0
0
RAIL_SUBDIVISION_2_NAME_EN
RAIL_SUBDIVISION_2_NAME_EN
String
100
0
0
RAIL_SUBDIVISION_2_NAME_FR
RAIL_SUBDIVISION_2_NAME_FR
String
100
0
0
RAIL_SUBDIVISION_2_START
RAIL_SUBDIVISION_2_START
Double
8
38
8
RAIL_SUBDIVISION_2_END
RAIL_SUBDIVISION_2_END
Double
8
38
8
RAIL_SUBDIVISION_2_MEASUR_T
RAIL_SUBDIVISION_2_MEASUR_T
SmallInteger
2
5
0
RAIL_SUBDIVISION_2_UNIT
RAIL_SUBDIVISION_2_UNIT
SmallInteger
2
5
0
RAIL_SUBDIVISION_2_UNIT_S
RAIL_SUBDIVISION_2_UNIT_S
SmallInteger
2
5
0
MAP_SELECTION
MAP_SELECTION
SmallInteger
2
5
0
SHAPE
SHAPE
Feature geometry.
Esri
Geometry
4
0
0
Coordinates defining the features.
SHAPE.LEN
SHAPE.LEN
Double
0
0
0
EPSG
6.13(9.3.0.0)
ISO 19139 Metadata Implementation Specification
50000
500000
2017-06-22
10023300
2021-01-03
10:13:51.59
FALSE
2018-06-25
17154900
1.0
ISO19139
editor:esri.dijit.metadata.editor
002
RAILROAD_LN_50K
350825.491200
377628.137500
572485.643800
695992.214800
1
Projected
GCS_North_American_1983
NAD_1983_Yukon_Albers
Linear Unit: Meter (1.000000)
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dataset
2020-12-04
8FE0E31D-4A53-4FF2-96EC-36E9CEAF6D02
Government of Canada; Natural Resources Canada; Earth Sciences Sector
NRCan.geogratis-geogratis.RNCan@canada.ca
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
Simple
FALSE
24
TRUE
FALSE