We have selected Canada Goose species dataset in British Columbia region for the spatial analysis. In GBIF database, this species has approximately 17326212 occurrences. However, we have filtered the data set based on BC, Canada only. When filtered the dataset, we fetched that Canada Goose species in BC has 500 rows and 77 columns of entries.
Once the data is converted to spatial point data, we can use spatial statistics tools to analyze the spatial patterns of the species occurrence. For example, we can use a clustering tool like Ripley's K-function to detect if the Canada Goose species is clustered or randomly distributed in BC. We can also use interpolation methods like kernel density estimation (KDE) to create a surface map of the species occurrence density across BC.
Additionally, we can incorporate environmental data like land use, elevation, and precipitation to analyze how the presence of the Canada Goose species is related to these factors. This can be done by overlaying the occurrence data with environmental data layers and using statistical methods like regression analysis to model the relationship.
Overall, spatial point analysis can provide valuable insights into the distribution and spatial patterns of the Canada Goose species in BC, as well as the factors that influence its presence.
- GBIF.org (25 April 2023) GBIF Occurrence Download https://doi.org/10.15468/dl.qs6zmf
- Research topic: https://wildlife-species.canada.ca/bird-status/oiseau-bird-eng.aspx?sY=2019&sL=e&sM=a&sB=CANG
- Michael Noonan Github Repository: https://github.com/ubco-mds-2022/Data-589.git