Consulta: subjectFacets:"Choropleth map"
Registros recuperados: 2
Data/hora: 13/06/2024 05:56:49

Simple thematic mapping
Provedor de dados: 31
Autores: Pisati,   Maurizio.
Thematic maps illustrate the spatial distribution of one or more variables of interest within a given geographic unit. In a sense, a thematic map is the spatial analyst’s equivalent to the scatterplot in nonspatial analysis. This paper presents the tmap package, a set of Stata programs designed to draw five kinds of thematic maps: choropleth, proportional symbol, deviation, dot, and label maps. The first three kinds of maps are intended to depict area data, the fourth is suitable for representing point data, and the fifth can be used to show data of both types.
Tipo: Journal Article
Palavras-chave: Tmap choropleth; Tmap propsymbol; Tmap deviation; Tmap dot; Tmap label; Thematic map; Choropleth map; Proportional symbol map; Deviation map; Dot map; Label map; Research Methods/ Statistical Methods.
Ano: 2004
URL: http://purl.umn.edu/116257

Digital soil mapping: strategy for data pre-processing
Provedor de dados: 90
Autores: Caten,Alexandre ten; Dalmolin,Ricardo Simão Diniz; Ruiz,Luis Fernando Chimelo.
The region of greatest variability on soil maps is along the edge of their polygons, causing disagreement among pedologists about the appropriate description of soil classes at these locations. The objective of this work was to propose a strategy for data pre-processing applied to digital soil mapping (DSM). Soil polygons on a training map were shrunk by 100 and 160 m. This strategy prevented the use of covariates located near the edge of the soil classes for the Decision Tree (DT) models. Three DT models derived from eight predictive covariates, related to relief and organism factors sampled on the original polygons of a soil map and on polygons shrunk by 100 and 160 m were used to predict soil classes. The DT model derived from observations 160 m away...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Choropleth map; Pedometrics; Soil survey; Decision tree.
Ano: 2012
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832012000400003