spatial-clustering

BANKSY: Spatial Clustering Algorithm that Unifies Cell-Typing and Tissue Domain Segmentation. Python package for spatial transcriptomics analysis.

Clustering spatial points with algorithm of Fast Search, high performace computing implements of CUDA or parallel in CPU, and runnable implements on python standalone or arcgis.

SnapLoc is a product that does automatic image classification and spatio-temporal analysis in order to recommend the places of interest in a new city. The packages that I have used for creating the product are Python(Pandas, NumPy, Shapely, Keras, Leaflet) and TensorFlow

Heterogeneous clustering and cross-modal evaluation metrics for crime prediction

CutESC: Cutting Edge Spatial Clustering Technique based on Proximity Graphs

DR.SC: Joint dimension reduction and spatial clustering for single-cell/spatial transcriptomics data

Python-Implementation of the Spatial Clustering Algorithm 'Supercluster' for ArcGIS and ArcPy.

This project analyses data from missing females in the USA. I have performed Exploratory Data Analysis(EDA), KMeans, and Spatial clustering.

The Public Innovations Explorer: a geo-spatial and linked-data visualization platform for publicly funded innovation research in the United States

Identifies Commercial Centers within the Jaipur city using Point of Interest (POI) spatial data of Jaipur, Rajasthan, India.

Spatiotemporal clustering algorithm for personal location data

This project highlights the critical relationship between substance use and mental health in the US using 2021 NSDUH data. Key findings show opioid use significantly impacts mental health, with the South and Midwest regions having the highest prevalence. Spatial analysis highlights clusters of misuse, offering insights to inform public health strat

SPACEGERM shiny app (archived, see GitLab for active fork)

An obstacle-aware extension of k-means that clusters wildfires by shoreline position, applied to Lake Tahoe and Lake Mead

Nested GLMs with neural network embeddings — territory clustering, EmbeddingNet, SKATER

美国交通事故数据分析：探索性分析·严重程度预测(4分类与二分类)·空间聚类·时序预测·NLP | US Accidents Data Analysis — EDA, severity prediction (4-class & binary), spatial clustering, time-series, NLP

Official implementation of ST-SCKM: A spatially constrained spatio-temporal clustering algorithm for GeoAI, wildfire risk zoning, and spatial data science.

A spatiotemporal forecasting framework for disease outbreaks using a hybrid DBSAN & Random Forest

A coastal asset damage-assessment dashboard: upload aerial/satellite imagery, classify assets (docks, derelict vessels, seawalls, ramps), and get cost estimates, area distribution, and a tunable hotspot heatmap — the same category of tool as commercial GIS damage-assessment products, built from scratch with open tooling.