coreydevinanderson/ESDA.js

Simple statistical functions that are useful for exploratory spatial data analysis (ESDA) on-the-fly in JavaScript

Language: JavaScript - Size: 640 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

PacktWorkshops/The-Unsupervised-Learning-Workshop

An Interactive Approach to Understanding Unsupervised Learning Algorithms

Language: Jupyter Notebook - Size: 115 MB - Last synced at: 7 days ago - Pushed at: over 4 years ago - Stars: 28 - Forks: 32

dimimarkou/ubc_lidar_project

Using LiDAR to characterize urban forest structure and composition and locate hotspots based on derived individual tree attributes

Language: R - Size: 21.5 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

ray310/NYC-Vehicle-Collisions

Analysis of when and where New York City (NYC) vehicle collisions occur with a focus on collisions involving pedestrians and cyclists.

Language: Jupyter Notebook - Size: 115 MB - Last synced at: 6 days ago - Pushed at: 9 months ago - Stars: 2 - Forks: 1

ahmar-js/Health-Informatics-Dashboard

Language: Python - Size: 386 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

ArchontisKostis/CodeInspector

A software quality analysis tool based on hotspot prioritization and commits

Language: JavaScript - Size: 438 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0

MSCS-Online/CSE511

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.

Language: Scala - Size: 16.6 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

nirbhayph/Geographic-Information-Sciences-and-Technologies-RIT

Contains Weekly Activites for the (ISTE 740) Geographic Information Sciences and Technologies Course @ RIT

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Shikhar97/Spatial-Hotspot-Analysis

Spatial Hotspot Analysis on Geo-Spatial Data using Apache Spark and Scala

Language: Scala - Size: 631 KB - Last synced at: 3 days ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Develop-Packt/Hotspot-Analysis

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.

Language: Jupyter Notebook - Size: 19.3 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 4

ParikshithKedilayaM/hotspot-analysis-geospatial-data

Hotspot analysis on Big Data of a major taxi company using Apache Spark and Scala

Language: Scala - Size: 4.07 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1