COST EFFECTIVE
ROADTRIPS WITH
EVO
Data Collection and Layer Creation
In order to carry out the analysis of Least Cost Paths in finding the most efficient roads for day trips, it was necessary to obtain key data from a range of different sources, as listed below (with hyperlinks to the respective sources).
Intercensal - Road Network Files from Census Program, Statistic Canada, 2010
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These files are a digital representation of road network, and contains in its attribute table interesting information such as street names, types, directions and address ranges.
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This data was retrieved in November 2017, and the zip files dated from 2010
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http://www12.statcan.gc.ca/census-recensement/2011/geo/rnf-frr/index-i-eng.cfm?year=08
HelloBC Activities and Attractions Listing from DataBC, 2017
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This dataset is a listing of activities and attractions registered through the HelloBC Listings Program, within the BC Agency’s sub organisation Destination BC.
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The data was retrieved in November 2017, and the dataset last updated in March 2017.
BC Major Cities Points 1:2,000,000 (Digital Baseline mapping) from DataBC, 2017
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This is a layer containing symbols for the major population centres in British Columbia
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The data was retrieved in November 2017, originally published in 2014, and last updated in March 2017.
Country Base Maps:
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BC Regional Districts from the UBC Geography Course Database, 2006
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This dataset contained BC census divisions for 2006
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The data was retrieved in November 2017
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Cartographic boundary shapefiles from the Census Bureau geographic database
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The data was retrieved in November 2017, and uploaded in 2016
Creating New Feature Classes of Points of Interests
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5 new point Feature Classes were created in the ArcGIS Geodatabase
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Using coordinates and the edit tool 5 layers were created and completed for:
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Downtown Vancouver, Cultus Lake, Deep Cove, Harrison Hot Springs and Whistler
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All layers were added to ArcGis 10.5.1 and projected to NAD_1983_UTM_Zone_10N