Hamilton

Canadian Wind Energy Atlas

Author: 

Environment and Climate Change Canada

Sample: 
windenergymap.JPG
Year: 
2004
Format: 
MapInfo Interchange Format (.mif), MapInfo Data (.mid)
Scale: 
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Who can use this data: 
Public
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Abstract: 

The Canadian Wind Energy Atlas was created as a contribution to a project hosted by the Environment Canada RPN (Recherche en Prévision Numérique).  The purpose of the project was to determine the average wind energy potential across the country for the purposes of wind energy development.

The website has an interactive map which can be used to display Mean Wind Speed (m/s) and Mean Wind Energy (W/m2) at a height of 30, 50, or 80m.  Values are expressed as a mean of 43 years of observations, and are also available seasonally (e.g. mean of all winter values only).  The interactive map can also display basic geophysical layers (roughness length, topography, lakes and rivers, and land/water mask) and human geography layers (power lines, roads, and cities). The map can be exported to an image format (.jpg, e.g.)

Data are also available for download in two formats: MapInfo Interchange Format (MIF) and the proprietary RPN format.  MIF files can be converted to ESRI Shapefile format by using ArcCatalog.  Software is provided on the website for conversion of RPN format files.  Please note that the website requires a username and password to download files, and there is a 160MB/day download limit.

How to Cite This: 

Canadian Wind Energy Atlas [computer file]. Gatineau, QC: Environment Canada, 2004.

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Canadian Soil Information Service (CanSIS)

Author: 

Agriculture and Agri-Food Canada

Sample: 
CanSIS.jpg
Year: 
Various
Format: 
Shapefile (.shp), dBase (.dbf) table, Esri Interchange File (.e00)
Scale: 
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Who can use this data: 
Public
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Abstract: 

The Canadian Soil Information Service (CanSIS) web site provides access to soil survey data for some provinces and territories in addition to related datasets:

How to Cite This: 

National Soil DataBase [computer file]. Ottawa, ON: Agriculture and Agri-Food Canada, [year of dataset].

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File Location: 
H:\GIS\Data\Canada\ON\Soils\Soils.mxd
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Canadian Digital Elevation Data (1:50,000)

Author: 

Natural Resorces Canada

Sample: 
CDED50k.jpg
Year: 
2006
Format: 
Digital Elevation Model (.dem)
Scale: 
Projection: 

GCS NAD83

Who can use this data: 
Public
File Size: 
URL: 

Canadian Digital Elevation Data (CDED) can be downloaded from Natural Resources Canada.

Datum: 

Horizontal Datum: NAD83
Vertical Datum: CVGD28

Abstract: 

Digital elevation data consists of an ordered array of ground elevations sampled at regular intervals over each grid area.   Aside from estimating point elevations, digital elevation has a variety of applications, including terrain modeling, line of sight analysis, water flow and flooding analysis, and many others.

In this dataset, spacing between elevation values varies with latitude.  The values for East/West range from 0.75 to 3 arc seconds, or 8 to 17 metres. Spacing is always 0.75 arc seconds or about 23 metres for North/South.

The data are provided in separate tiles according to the Canadian National Topographic System (1:50,000) map boundaries. For example, the local area appears as four map sheets: 30M/4, 30M/5, 40P/1 and 40P/8, and each sheet is further divided into an Eastern and a Western tile.  Each tile contains 1201 elevation points x 1201 elevation points, for a total of 1,442,401 elevation points.  A lower resolution dataset (1:250,000) is also available from Geobase, but both datasets provide complete coverage of Canada.

Other Keywords: DEM, Digital Elevation Model

How to Cite This: 

Canadian Digital Elevation Data [computer file]. Ottawa, ON: Natural Resources Canada, 2006.

Use of the data is subject to the Open Government Licence – Canada. The License Agreement can be viewed in full at the following link: http://open.canada.ca/en/open-government-licence-canada

Library Contact: 
File Location: 
H:\GIS\Data\Canada\Geobase\Geobase.mxd
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Canada Land Inventory (CLI) - Land Capability for Agriculture

Author: 

Agriculture and Agri-Food Canada

Sample: 
Sample of Land Capability for Agriculture
Year: 
2013
Format: 
1:50,000 - File Geodatabase (FGDB) / 1:250,000 - Shapefile (.shp)
Scale: 
Projection: 

Unprojected Lat/Long

Who can use this data: 
Public
File Size: 
URL: 

The dataset is available in a variety of scales on the Open Government website.

Datum: 

NAD27

Abstract: 

The agriculture map illustrates the varying potential of a specific area for agricultural production. Classes of land capability for agriculture are based on mineral soils grouped according to their potential and limitations for agricultural use. The classes indicate the degree of limitation imposed by the soil in its use for mechanized agriculture. The subclasses indicate the kinds of limitations that individually or in combination with others, are affecting agricultural land use. Characteristics of the soil as determined by soil surveys.

City Land Capability for Agriculture, Canada Land Inventory 1:50,000 was only produced for a selection of cities.

How to Cite This: 

Canada Land Inventory (CLI) [scale] - Land Capability for Agriculture [computer file]. (2013). Ottawa, ON: Agriculture and Agri-Food Canada.

Library Contact: 
File Location: 
H:\GIS\Data\Canada\CLI\demo.mxd
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BatchGeo

Author: 

BatchGeo LLC

Sample: 
Year: 
2017
Format: 
Google Earth Keyhole Markup Language (.kml), Microsoft Excel (.xls)
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Projection: 

Output can be generated in unprojected decimal degrees.

Who can use this data: 
Public
File Size: 
Datum: 
Abstract: 

BatchGeo is an online tool for batch geocoding addresses. It accepts data in Excel format, having municipal street addresses or postal codes, and generates an x,y coordinate for each address. The output coordinates are available as a KML file for use with Google Maps or Google Earth.

BatchGeo can also produce a web map of geocoded addresses using Google Maps as a background. Additional features include filtering or clustering data, calculations (averages/sum), distance calculator from a given address and quick creation of KML file for use with Google Earth.

Bulk geocode is available for most countries.

How to Cite This: 

BatchGeo LLC. BatchGeo [online software]. 2017

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Air Quality Data Sets: Pollutant and Smog Data and Forecasts

Author: 

Ontario Ministry of the Environment and Climate Change

Year: 
Various, from 2000
Format: 
Comma separated values (.csv), Microsoft Excel (.xls)
Scale: 
Projection: 
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Who can use this data: 
Public
URL: 

Air Quality of Ontario - Science Data Sets

Datum: 
Abstract: 

The Ontario Ministry of the Environment and Climate Change (MOE) has created the user-friendly website Air Quality Ontario in order to provide Ontarians with current Air Quality Index (AQI) readings, historical ambient air pollution data, air quality forecasts, and current pollutant concentrations, as well as information on actions that can be taken when a smog alert is issued.

Reports and forecasts of air quality (based on the AQI) can be browsed by city on the website, but downloadable datasets are also available.  Users can download historical data in the form of hourly readings of various pollutants (Ground-level Ozone, Nitrous Oxides etc.). The datasets are provided by monitoring station location (e.g. "Hamilton West") in .csv format, which can be imported into Excel or ArcMap. Also available from the website are "Smog Advisory Statistics", which give gives the dates on which "Smog Days" were declared and the areas in which they applied. These datasets are provided in .xls format, which can be converted to .csv format in Excel to be imported to ArcMap.

Please note that there is no geospatial data directly included in these datasets. If users are interested in performing geospatial analysis in ArcMap, the locations of the monitoring stations or affected areas must be manually added by the user. The website does provide the Lat-Long coordinates of each monitoring station when you download the hourly pollutant data for that station.

How to Cite This: 

Historical Air Quality Pollutant Data [computer file]. Ontario Ministry of the Environment and Climate Change (year of dataset).

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