There are 1 repository under hotspot-analysis topic.
An Interactive Approach to Understanding Unsupervised Learning Algorithms
A software quality analysis tool based on hotspot prioritization and commits
We will visualize the results of hotspot analysis and use kernel density estimation, which is the most popular algorithm for building distributions using a collection of observations. By the end of the course, you should be able to leverage Python libraries to build multi-dimensional density estimation models and work with geo-spatial data.
Analysis of when and where New York City (NYC) vehicle collisions occur with a focus on collisions involving pedestrians and cyclists.
Data Processing at Scale - This course delves into new frameworks for processing and generating large-scale datasets with parallel and distributed algorithms, covering the design, deployment and use of state-of-the-art data processing systems, which provide scalable access to data.
Contains Weekly Activites for the (ISTE 740) Geographic Information Sciences and Technologies Course @ RIT
Spatial Hotspot Analysis on Geo-Spatial Data using Apache Spark and Scala
Spatiotemporal analysis of the course of the COVID-19 pandemic in Germany
Hotspot analysis on Big Data of a major taxi company using Apache Spark and Scala
Interface R & SatScan to create descriptive HotSpot Analytics!