The data represents the relative expense of farm chemicals (herbicides, insecticides and fungicides) in the agricultural area of Alberta. It is an estimate of the degree to which crop production agriculture may contribute to surface or groundwater contamination.Agriculture production that makes greater use of herbicides, insecticides and pesticides in generally considered more intensive. Presenting the relative farm chemical expenses by SLC polygons reveals where the most intensive agricultural production in the province occurs. Chemical use is part of an equation to determine a measure of surface water quality risk. If an area is known to have certain risk factors that would affect not only surface, but groundwater quality as well, a higher chemical expense index ranking in that same area may be of concern. Where risks of surface or groundwater contamination exist, environmental farm planning can help to minimize them.

The Moisture Anomaly Index (Palmer-Z) is an estimate of the moisture difference from normal (a 30-year mean). It attempts to express conditions for the current month regardless of what may have occurred before the month in question.

Results of the last hour available, in real time, of the [Air Quality Index (AQI)] (https://www.iqa.environnement.gouv.qc.ca/contenu/index.asp) for the stations of the [Quebec Air Quality Monitoring Network] (https://www.environnement.gouv.qc.ca/air/reseau-surveillance/Carte.asp). These results exclude those from stations located on [Montreal Island] (https://www.donneesquebec.ca/recherche/dataset/vmtl-rsqa-indice-qualite-air). The IQA is an information and awareness tool designed to inform the population about the quality of ambient air in Quebec. If you have any questions about this data, contact the Info-Air department:.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Canadian Index of Multiple Deprivation (CIMD) is an area-based index which used 2016 Census of Population microdata to measure four key dimensions of deprivation at the dissemination area (DA)-level: residential instability, economic dependency, situational vulnerability and ethno-cultural composition.Using factor analysis, DA-level factor scores were calculated for each dimension. Within a dimension, ordered scores were assigned a quintile value, 1 through 5, where 1 represents the least deprived and 5 represents the most deprived.The CIMD allows for an understanding of inequalities in various measures of health and social well-being. While it is a geographically-based index of deprivation and marginalization, it can also be used as a proxy for an individual. The CIMD has the potential to be widely used by researchers on a variety of topics related to socio-economic research. Other uses for the index may include: policy planning and evaluation, or resource allocation.

This data set represents the digital information on all known mineral occurrences in the Province of Saskatchewan.This data shows information on all known mineral occurrences in Saskatchewan. Additional occurrences are added as new public domain geoscience information is analyzed. The data was created as a file geodatabase feature class and output for public distribution. Current definitions for the mineral deposit categories used in the Saskatchewan Mineral Deposit Index can be found by searching “Mineral Deposit Category Definition Tables” on the Publications Saskatchewan website. To view or download more datasets from the Saskatchewan Geological Survey, please visit our GeoHub page (https://er-saskatchewan.hub.arcgis.com/pages/saskatchewan-geological-survey) or our Saskatchewan Mining and Petroleum GeoAtlas (https://gisappl.saskatchewan.ca/geoatlas). **Please Note – All published Saskatchewan Geological Survey datasets, including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse.  They are therefore identical and share the same refresh schedule. 

The Blended Index (BI) is a model which employs multiple potential indicators of drought and excess moisture, such as the Palmer drought index, rolling precipitation amounts and soil moisture, and combines them into a weighted, normalized value between 0 and 100. The inputs and weights used in this model are subject to change periodically as it is optimized to best represent extent, duration and severity of impactful weather conditions. The blended index is deployed as two variations; short term (st) focusing on 1 to 3 months, and long term (lt) focusing on 6 months to 5 years.

The Blended Index (BI) is a model which employs multiple potential indicators of drought and excess moisture, such as the Palmer drought index, rolling precipitation amounts and soil moisture, and combines them into a weighted, normalized value between 0 and 100. The inputs and weights used in this model are subject to change periodically as it is optimized to best represent extent, duration and severity of impactful weather conditions. The blended index is deployed as two variations; short term (st) focusing on 1 to 3 months, and long term (lt) focusing on 6 months to 5 years.

This data set represents the digital information on all known mineral occurrences in the Province of Saskatchewan.This data shows information on all known mineral occurrences in Saskatchewan. Additional occurrences are added as new public domain geoscience information is analyzed. The data was created as a file geodatabase feature class and output for public distribution. Current definitions for the mineral deposit categories used in the Saskatchewan Mineral Deposit Index can be found by searching “Mineral Deposit Category Definition Tables” on the Publications Saskatchewan website. To view or download more datasets from the Saskatchewan Geological Survey, please visit our GeoHub page (https://er-saskatchewan.hub.arcgis.com/pages/saskatchewan-geological-survey) or our Saskatchewan Mining and Petroleum GeoAtlas (https://gisappl.saskatchewan.ca/geoatlas). **Please Note – All published Saskatchewan Geological Survey datasets, including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse.  They are therefore identical and share the same refresh schedule. 

The Standardized Precipitation Index (SPI) has been recognized as the most accessible index for quantifying and reporting meteorological drought. On short timescales, the SPI is closely related to soil moisture, while at longer timescales, the SPI can be related to groundwater and reservoir storage. The model uses observed historical precipitation amounts to compute probability distributions which are then normalized using an incomplete gamma function over a range of timescales. The values can be interpreted as the number of standard deviations by which the observed anomaly deviates from the long-term mean. where positive values (greater than zero) result from above average conditions.

The Aquifer Vulnerability Index (AVI) is a method of assessing the vulnerability of aquifers to surface contaminants in Alberta. An aquifer is a geological formation that is permeable enough to transmit sufficient quantities of water to possible to support the development of water wells. In the assessment of aquifer vulnerability to potential contamination, the depth to the aquifer and the types of geological materials above them are considered. For example, aquifers closer to the surface overlain with pervious surface materials are more vulnerable to contaminants, as compared to aquifers found deeper and covered with a thick layer of impervious material. The AVI ratings indicate the potential of surficial materials to transmit water withy contaminants to the aquifer over a period of time. This data was created in 2002 using ArcGIS.