#295 - Map4America: Lake Traverse Reservation of Sisseton Wahpeton Sioux nation

#71 Validated by Aoestreicher

#34 Marked as done by LixmenArias3

#71 Marked as done by bryche

Three of the lowest median household income (MHI) communities in the United States are located in South Dakota on reservations. According to the US Census Bureau, the poverty rate on Sisseton Wahpeton Oyate and Oglala Sioux Tribe (SWOT) is 22.9%, compared to 14.2% for the rest of South Dakota and 37% of children on SWOT live in poverty.

Please see http://www.swo-nsn.gov/ for more information about the Sisseton Wahpeton Sioux nation.

Entities to Map
Roads: add missing roads, align existing roads with imagery. Buildings: add significant commercial and institutional buildings. Other features encouraged, if clearly identifiable and accurately tagged.
Changeset Comment
#teachosm-task-295 #southdakota #map4america #Geography2050

INSTRUCTIONS: Please trace all the buildings and roads that you can see on the imagery. Tag each building as simply "building" - as we cannot always be sure of the building use from aerial imagery.

Tag the roads according to perceived type and usage. Please consult the OSM tagging dictionary for roads: http://wiki.openstreetmap.org/wiki/Map_Features#Highway

When saving your work, please leave the default comment and add what you actually mapped. For example, "added buildings and a residential road".

IMPORTANT NOTE ON IMAGERY: Toggle between Bing imagery and Mapbox imagery to help identify features. Mapbox imagery is much clearer for this task. In general, different set of imagery may offer sharper image, easier recognition of objects on the ground.

Add TIGER streets to your background imagery for reference and comparison with OpenStreetMap data: - In iD, open the Background preferences, and tick the box for 'New & Misaligned TIGER Roads' - In JOSM, open the Imagery menu, and select TIGER 2012 Roads Overlay

Re-align OpenStreetMap data to the imagery. If the TIGER is acceptably correct, use it for naming. - Tag roads according to usage. In most cases, this will be 'unclassified' or 'unknown'. Refer to the wiki section on tagging road features.

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