This code-through applies learned clustering techniques to rhythm game analysis.

Esta es una prueba de maqueta

[GEOS 372 Final Project] An online, interactive map showing the distribution of Cooper's hawk (Accipiter cooperii) sightings each decade between the years 1970 to 2020 across North America. The slider bar in top right corner enables reader to view observation data across the relevant years. As the map is created using the leaflet package in RStudio, the map is rendered using a Web Mercator projection; the base map is the ESRI National Geographic World Map. Count data is collected from Nature Counts Canada and are classified based on years (i.e. 1970, 1980, 1990, 2000, 2010 or 2020). A visual hierarchy is created through the color-coded years that differentiate each decade. Data points from more recent years are layered upon those from older decades, where the color-coded symbols effectively enhance the readers’ ability to distinguish between each data points. The intended audience of this map ranges from wildlife conversationists to birding enthusiasts. Cooper's hawks are renowned for being among the few raptor species that have adapted well to urban environments. This map shows their distribution across the indicated decades relative to modern well-populated areas. Sightings on June 1st of each decade is used to represent the average Cooper's hawk population of that decade. The selection of this date reflects upon the approximate end of the annual breeding season for the species. References: Birds Canada. (2025). NatureCounts web application. Port Rowan, Ontario. Accessed [December 1, 2025]. https://naturecounts.ca. LaZerte S, Lepage D (2025). naturecounts: Access and download data on plant and animal populations from NatureCounts. R package version 0.4.1, https://github.com/BirdsCanada/naturecounts. National Geographic, Esri, DeLorme, NAVTEQ, UNEP-WCMC, USGS, NASA, ESA, METI, NRCAN, GEBCO, NOAA, iPC, (2011). National Geographic World Map, digital topographic basemap of the world. Accessed [December 1, 2025]. https://www.arcgis.com/home/item.html?id=b9b1b422198944fbbd5250b3241691b6. R Core Team (2024). _R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org.

Measuring the Progress and Development of a Country

Measuring the Progress and Development of a Country

Olivia Ogutu