This repo contains all projects from my second data class at UPenn, designed to demonstrate marked improvements and a broader grasp of key topics through more complex problem sets.
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Updated
Aug 12, 2024
This repo contains all projects from my second data class at UPenn, designed to demonstrate marked improvements and a broader grasp of key topics through more complex problem sets.
Generate population maps from server members' self-reported locations.
This notebook uses regression modeling to predict the annual population change of US cities based on their population in 2024 and 2020, population density, and area.
Population density tracker using Computer Vision.
Explore population density patterns in this repository featuring a captivating map generated with the Rayshader package in R.
Explore the population metrics of Asian countries with this React project. The mobile web application utilizes React and Redux to fetch and display population data from a selected API.
Texas counties by land area, population, and population density
A simulator for populations living and sharing resources on a (spherical) map
Paez, A (2022) Reproducibility of Research During COVID-19: Examining the Case of Population Density and the Basic Reproductive Rate from the Perspective of Spatial Analysis. Geographical Analysis. 54 (4) 860-880.
preparation of geo indicators at the national level to be ingested into the UK LLC TRE
data journalism short article on the population density of havana
Euskal Herriko herri baten izena emanda, beste sei euskal herrialdeetan biztanleria-dentsitateari dagokionez herri antzekoena aurkitzeko gai den programa / Giving the name of a basque municipality, this program is able to find the similarest municipality on other basque regions taking in consideration the population density.
iRegistration is a prototype of a lightweight web based deaths and births registration Information System.
The goal of this project is to answer the following question: Where is a “good place” to buy a house in France and at what price? see readme file for info.
This project is the final assignment in the course Analysis of Spatial Temporal Data given during the winter semester at the Institute of Geoinformatics, Muenster.
Paez, Antonio, et al. "A spatio‐temporal analysis of the environmental correlates of COVID‐19 incidence in Spain." Geographical Analysis 53.3 (2021): 397-421.
This program was developed on the results from the BT Young Scientist project called "Is It Possible to Create a Mathematical Model to Predict Photopollution Based on Population Density in Munster?". This program will calculate the photopollution of an area in the British Isles and grade that photopollution value.
Resources that might come handy to anyone using spatially explicit mark-capture-recapture models.
Open framework for calculating spatial urban sprawl indices and performing disaggregated population estimates using open data
learn and experiment with d3
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