Ni-Cu-PGE mineralizations in Quebec, MRN, 2003.

Digital boundaries for existing exploration licences, significant discovery licences, production licences, former permits, former leases and the Norman Wells Proven Area are available for download. The digital boundaries provided have been generalized and may contain errors. Users should be alert to limitations with respect to resolution. FROM: https://www.aadnc-aandc.gc.ca/eng/1100100036298/1100100036301

The Ministry of Natural Resources (MNR) participated in a Natural Resources Canada initiative to create a current, accurate and attribute-rich National Railway Network for Canada. Through this initiative MNR created a new Ontario Railway Network (ORWN) that contains seven data classes: 1. ORWN Track 2. ORWN Structure Line 3. ORWN Structure Point 4. ORWN Crossing 5. ORWN Junction 6. ORWN Station 7. ORWN Marker Post 

Designed for a broad range of disciplines, SpatiaLABS complements and enhances an instructor's course with self-directed investigations that help students increase their spatial reasoning and analytical skills. Created by educators and peer reviewed, SpatiaLABS provides students in the physical, social, and applied sciences with 64 lessons on topics including environmental studies, business, urban studies, and spatial statistics. Students develop GIS and cartography skills during these investigations; however, the primary objective of SpatiaLABS is to teach students how to approach and solve geospatial problems. Although each activity has been written with skill prerequisites in mind‚ from no GIS ability to advanced GIS project experience‚ SpatiaLABS exercises are customizable, allowing educators to adapt them to student capabilities or use local data, when appropriate.

GIS Tutorial for Marketing Data CD

Workbook for ArcView 9, DVD Maps and Data

Spatial Analysis Workbook DVD Maps and Data

Using an innovative approach with Geographic Information System and Remote Sensing, ORNL's LandScan is the community standard for global population distribution. At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region. Source: http://www.ornl.gov/sci/landscan/

comprehensive road network file; roads, streets, etc.

comprehensive road network file; roads, streets, etc.