Cluster analysis | Spatial analysis

Geographical cluster

A geographical cluster is a localized anomaly, usually an excess of something given the distribution or variation of something else. Often it is considered as an incidence rate that is unusual in that there is more of some variable than might be expected. Examples would include: a local excess disease rate, a crime hot spot, areas of high unemployment, accident blackspots, unusually high positive residuals from a model, high concentrations of flora or fauna, areas with high levels of creative activity, physical features or events like earthquake epicenters etc... Identifying these extreme regions may be useful in that there could be implicit geographical associations with other variables that can be identified and would be of interest. Pattern detection via the identification of such geographical clusters is a very simple and generic form of geographical analysis that has many applications in many different contexts. The emphasis is on localized clustering or patterning because this may well contain the most useful information. A geographical cluster is different from a high concentration as it is generally second order, involving the factoring in of the distribution of something else. (Wikipedia).

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Teach Astronomy - Clustered Distribution

http://www.teachastronomy.com/ Sometimes stars appear to be close to each other on the plane of the sky, but how do we know if these stars are physically close to each other in three dimensional space? For an individual pair of stars, without additional information, we don't know, but for

From playlist 17. Galactic Mass Distribtuion and Galaxy Structure

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Hierarchical Clustering 3: single-link vs. complete-link

[http://bit.ly/s-link] Agglomerative clustering needs a mechanism for measuring the distance between two clusters, and we have many different ways of measuring such a distance. We explain the similarities and differences between single-link, complete-link, average-link, centroid method and

From playlist Hierarchical Clustering

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Teach Astronomy - Galaxy Clusters

http://www.teachastronomy.com/ Galaxy clusters contain anywhere from hundreds to thousands of galaxies, and there is no fixed demarcation between what is considered a galaxy group and a cluster. In the early 1960s astronomer George Abell cataloged twenty-seven hundred clusters in the nort

From playlist 20. Galaxy Interaction and Motion

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Clustering (2): Hierarchical Agglomerative Clustering

Hierarchical agglomerative clustering, or linkage clustering. Procedure, complexity analysis, and cluster dissimilarity measures including single linkage, complete linkage, and others.

From playlist cs273a

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Clustering 1: monothetic vs. polythetic

Full lecture: http://bit.ly/K-means The aim of clustering is to partition a population into sub-groups (clusters). Clusters can be monothetic (where all cluster members share some common property) or polythetic (where all cluster members are similar to each other in some sense).

From playlist K-means Clustering

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Machine Learning on Gun Protests Diffusion: Cluster-Tree-MLE Analysis in Space-Time Metric Space

To learn more about Wolfram Technology Conference, please visit: https://www.wolfram.com/events/technology-conference/ Speaker: Lanston Chu Wolfram developers and colleagues discussed the latest in innovative technologies for cloud computing, interactive deployment, mobile devices, and m

From playlist Wolfram Technology Conference 2018

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Hierarchical Clustering 5: summary

[http://bit.ly/s-link] Summary of the lecture.

From playlist Hierarchical Clustering

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49 Sinkholes Found in China Cluster | National Geographic

Newly discovered cluster of natural sinkholes in China contain primitive forests and giant flying squirrels. ➡ Subscribe: http://bit.ly/NatGeoSubscribe About National Geographic: National Geographic is the world's premium destination for science, exploration, and adventure. Through their

From playlist News | National Geographic

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Computational Behavioural Science: The Hidden Message behind Emojis

Emojis are a popular form of non-linguistic expression in computer-mediated communication (CMC). Various factors such as platform diversity, age, gender, etc. have been known to affect emoji usage patterns. Further, studying emoji usage patterns could possibly provide insight into human be

From playlist Wolfram Technology Conference 2020

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DEFCON 16: Evade IDS/IPS Systems using Geospatial Threat Detection

Speaker: Ryan Trost, Director of Security, Comprehensive Health Services IDS/IPS systems are becoming more and more advanced and geocoding is adding another layer of intelligence to try and defend against a company's vulnerabilities. Learn how to evade complex geospatial threat detection

From playlist DEFCON 16

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Moran's I : Data Science Concepts

How do we measure spatial correlation?

From playlist Data Science Concepts

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Finding more needles by building bigger haystacks - Dr Jacob Eisenstein

Bridging disciplines in analysing text as social and cultural data workshop (21-22 September, 2017) The potential benefits of using large-scale text data to study social and cultural phenomena is increasingly being recognized, but researchers are currently scattered across a range of ofte

From playlist Bridging disciplines in analysing text as social and cultural data

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Mapping the Future of Global Civilization | Nat Geo Live

Join Parag Khanna, a leading global strategist and best-selling author, for a journey through the emerging global network civilization in which megacities compete over connectivity instead of borders. Discover how 21st-century conflict is a tug-of-war over pipelines, Internet cables, advan

From playlist National Geographic Live!: Season 11

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Twitch Talks - Astronomy & Space Entities

Presenter: Jeff Bryant Wolfram Research developers demonstrate the new features of Version 12 of the Wolfram Language that they were responsible for creating. Previously broadcast live on July 9, 2019 at twitch.tv/wolfram. For more information, visit: https://www.wolfram.com/language/12/a

From playlist Twitch Talks

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Spatio-Temporal Dynamics of Interacting Species across a Fragmented....by Saskya van Nouhuys

PROGRAM FIFTH BANGALORE SCHOOL ON POPULATION GENETICS AND EVOLUTION (ONLINE) ORGANIZERS: Deepa Agashe (NCBS, India) and Kavita Jain (JNCASR, India) DATE: 17 January 2022 to 28 January 2022 VENUE: Online No living organism escapes evolutionary change, and evolutionary biology thus conn

From playlist Fifth Bangalore School on Population Genetics and Evolution (ONLINE) 2022

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Hierarchical Clustering 4: the Lance-Williams algorithm

[http://bit.ly/s-link] The Lance-Williams algorithm provides a single, efficient algorithm to implement agglomerative clustering for different linkage types. We go over the algorithm and provide the update equations for single-link, complete-link and average-link definitions of inter-clust

From playlist Hierarchical Clustering

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Spatial Statistics Data

Spatial point data, also known as spatial point patterns, refers to collections of points (or events) in space. Examples include trees in a forest, gold deposits, positions of stars, earthquakes, crime locations, animal sightings, etc. Spatial data analysis, as a statistical exploration of

From playlist Wolfram Technology Conference 2020

Related pages

Spatial distribution