PySAL

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Export map as:

Research this topic

Explore the main themes, entities and connections around PySAL. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

History

Luc Anselin GeoDa

2 related topics

Applications

MATLAB Stata

2 related topics

Features

Moran's I

1 related topics

Overview

Open-source Python Geocomputation Spatial analysis Spatial statistics

7 related topics

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developer: PySAL community
License: BSD 3-Clause License
Operating system: Cross-platform
Original authors: Sergio J. Rey and Luc Anselin
Release: July 2010; 16 years ago (2010-07)
Type: Spatial analysis; statistical software

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

History

Features

Moran's I

Applications

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Nodes17

Edges16

Triples35

Avg. degree1.88

Density0.117647

Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

PySAL

Top relations

related to history · 12

PySAL → GeoDa, Its, January, July, Luc Anselin, Python, Regional Systems, Rey, Sergio, Space-Time Analysis, STARS, The

has application · 8

PySAL → GIS Algorithms, Local Moran's, MATLAB, Moran's, PySAL's, Stata, The, University

Developer · 1

PySAL → PySAL community

License · 1

PySAL → BSD 3-Clause License

Operating system · 1

PySAL → Cross-platform

Original authors · 1

PySAL → Sergio J. Rey and Luc Anselin

Release · 1

PySAL → July 2010; 16 years ago (2010-07)

Type · 1

PySAL → Spatial analysis; statistical software

Website · 1

PySAL → pysal.org

Written in · 1

PySAL → Python

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

spatial analysis data python packages econometrics weights exploratory tools contains library metapackage point-pattern statistical open-source geovisualization methods moran's science project

Entity relationships Subject–Predicate–Object triples

Subject	Predicate	Object	Confidence	Src
PySAL	Developer	PySAL community	1.00	infobox
PySAL	License	BSD 3-Clause License	1.00	infobox
PySAL	Operating system	Cross-platform	1.00	infobox
PySAL	Original authors	Sergio J. Rey and Luc Anselin	1.00	infobox
PySAL	Release	July 2010; 16 years ago (2010-07)	1.00	infobox
PySAL	Type	Spatial analysis; statistical software	1.00	infobox
PySAL	Website	pysal.org	1.00	infobox
PySAL	Written in	Python	1.00	infobox
Moran's I	instance of	measures of spatial autocorrelation	0.80	text
exploratory spatial	instance of	measures of spatial autocorrelation	0.80	text
spatiotemporal data analysis	instance of	measures of spatial autocorrelation	0.80	text
spatial econometrics	instance of	measures of spatial autocorrelation	0.80	text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

Connections between topic areas Semantic bridges

Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

Min side: 3