- Your title can change over time.
Details for Milestone are available on Canvas (left sidebar, Course Project).
We will be using a combination of climate change datasets to analyze how the change in temperature has affected Canada over the given years. We will also determine if these datasets are capable of validating the fact that climate change is a real issue that is occurring worldwide. We will also try to determine if climate change may have had an impact on Indigenous community and the wildlife local to BC, Canada and provide sustainable solutions where possible.
Canadian Temperature datasets:
For the temperature datasets, we will analyze any climate change fluctuations that occur between 1917 and 2017. The datasets we will be using include the temperature data collected by weather stations around Canada over the years of 1917 to 2017. This dataset has a public domain license. This dataset was collected by a climate activist from the climate.weather.gc.ca webpage.
Biodiversity richness dataset:
This repository accompanies the journal article titled Vertebrate biodiversity on Indigenous-managed lands in Australia, Brazil, and Canada equals that in protected areas. This publication was written by Richard Schuster, Ryan Germain, Joe Bennett, Nicholas J Reo, and Peter Arcese. Contributors created this dataset from various sources, including the Global Administrative Areas database, World Database on Protected Areas (WDPA), Natural Resources Canada’s Aboriginal Lands map layer, International Union for Conservation of Nature (IUCN) red list of threatened species and Birdlife International threatened species data. The repository consists of GIS shapefiles, and R files including the data analysis used in the paper. The repository was created in January 2017, and has been updated as of november 2020, with the accompanying article published in the journal of environmental science and policy in November 2019. The purpose of this dataset is to acknowledge indigenous land stewardship and its positive impacts on biodiversity and conservation, and better understand how these methods of land stewardship can help countries like Canada, Brazil and Australia meet international treaty targets relating to biodiversity loss, conservation and habitat protection. The researchers created part of the data by creating 10,000 randomly located points in each country that are non-protected areas to compare to the existing data on different types of protected areas. The remaining data was collected according to standards outlined by each organization or government. The IUCN red-list process involves approved partners submitting species assessments (completed by humans) to be published, assessments are managed through the IUCN Species Information Service (SIS). Data from Birdlife International is collected by partners (completed by humans) using their criteria and stored in the World Database of Key Biodiversity Areas (WDKBA) and BirdLife Data Zone. The administrative boundaries used are determined by Indigenous Nations and the federal government of Canada.
- Kalli Van Stone: I am a second year data science student.
- Allysa Webber: I am a 4th year biology student with an interest in data science.
- Sarah Quesnelle: I am a 4th year Mathematics student.
This image, which was taken from the internet, is one example of Climate Change in Canada from the years 1830 to 2020.
https://data.world/pegarciadotcom/canada-monthly-weather-data-1917-2017-dataloversbrazil Public Domain License
https://open.canada.ca/data/en/dataset/2364749d-70a0-4874-956d-a636401ac5a6/resource/6ade85af-8d5e-4d6e-a429-6cf8d87516ba?inner_span=True Open Government License - Canada
https://osf.io/f86wv/ Creative Commons Attribution 4.0 International (CC-BY-4.0)