spatial autocorrelation
[/ˈspeɪʃəl ɔːtəʊkɔːˈreɪʃən/]
nounfemininepl: autocorrelações espaciais
autocorrelação espacial
1. A statistical measure that quantifies the degree to which observations at nearby locations are correlated with each other in space
The researcher detected significant spatial autocorrelation in the distribution of housing prices across the city neighborhoods.
O pesquisador detectou autocorrelação espacial significativa na distribuição de preços de imóveis entre os bairros da cidade.
2. The phenomenon where values of a variable at one location depend on values at neighboring locations, violating the assumption of independence in statistical analysis
Ignoring spatial autocorrelation in regression analysis can lead to biased standard errors and unreliable hypothesis tests.
Ignorar a autocorrelação espacial na análise de regressão pode levar a erros padrão enviesados e testes de hipótese não confiáveis.
3. A fundamental concept in spatial statistics and geographic information systems used to understand geographic patterns and clustering
Moran's I statistic is commonly used to test for spatial autocorrelation in environmental data.
A estatística I de Moran é comumente usada para testar autocorrelação espacial em dados ambientais.
This is a highly specialized technical term used primarily in academic fields such as geography, urban planning, economics, epidemiology, and environmental science. The term is identical in Brazilian Portuguese and European Portuguese, reflecting the standardized nature of scientific nomenclature. In both the United States and Brazil, understanding spatial autocorrelation has become increasingly important for urban planners and policymakers dealing with geographic data analysis.
Related Idioms & Phrases
positive spatial autocorrelation
negative spatial autocorrelation
test for spatial autocorrelation
account for spatial autocorrelation
Look up more words on Fala2Me
The free English-Portuguese dictionary with real Brazilian accents, NYC slang, conjugator and more
Open Fala2Me →