Southern Ontario Land Resources Inventory (SOLRIS)
from FAQ from OMNR "SOLRIS is a primary data layer that provides a comprehensive, landscape-level inventory of natural, rural and urban areas.
from FAQ from OMNR "SOLRIS is a primary data layer that provides a comprehensive, landscape-level inventory of natural, rural and urban areas.
This text applies knowledge of ArcGIS software to the programming of ArcObjects. The book covers Geodatabase, the organization of ArcObjects, and ArcObjects help sources. Adopting VBA for programming, it reviews programming basics and user interface customization.
Forward Sortation Areas (FSA) are polygons of the first three digits of Canadian postal codes.
Forward Sortation Areas (FSA) are polygons of the first three digits of Canadian postal codes.
This nationwide mapping data product is ideal for navigation and recreational GPS products, travel and tourism Web applications, infrastructure analysis and planning, wildlife and environmental risk studies, and much more.Nationwide Features Include:CanMap Parks comes with a Canada Directory that
The CanMap Multiple Enhanced Postal Code product is a precision-based point file representing over 1 million postal codes across Canada, with a geographic link to Statistics Canada's Census Boundaries. The Multiple Enhanced Postal Code product allows for a one to many relationship.
The CanMap Multiple Enhanced Postal Code product is a precision-based point file representing over 1 million postal codes across Canada, with a geographic link to Statistics Canada's standard 2001 Census Boundaries. The Multiple Enhanced Postal Code product allows for a one to many relationship.
The CanMap Multiple Enhanced Postal Code product is a precision-based point file representing over 1 million postal codes across Canada, with a geographic link to Statistics Canada's standard 2001 Census Boundaries. The Multiple Enhanced Postal Code product allows for a one to many relationship.
To request access, if you are a current U of T student, staff, or faculty, please email mdl@library.utoronto.ca