BeechBnd
(Package: R2BayesX) :
Beech Location Map
This database produces a location map of beeches around Rothenbuch, Germany.
● Data Source:
CranContrib
● Keywords: datasets
● Alias: BeechBnd
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1 images
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BeechGra
(Package: R2BayesX) :
Beech Neighborhood Information
This database produces a graph file including neighborhood information of the beech trees around Rothenbuch, Germany.
● Data Source:
CranContrib
● Keywords: datasets
● Alias: BeechGra
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0 images
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This database produces a map of Germany since 2001 containing 439 administrative districts.
● Data Source:
CranContrib
● Keywords: datasets
● Alias: GermanyBnd
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1 images
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ZambiaNutrition
(Package: R2BayesX) :
Determinants of Childhood Malnutrition in Zambia
The Demographic Health Surveys (DHS) of Zambia was conducted 1992. The survey is produced jointly by Macro International, a USAIDfunded firm specializing in demographic research, and the national statistical agency of the country.
● Data Source:
CranContrib
● Keywords: datasets
● Alias: ZambiaNutrition, zambia
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0 images
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This database produces a map of Zambia containing 57 districts.
● Data Source:
CranContrib
● Keywords: datasets
● Alias: ZambiaBnd
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1 images
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This database produces a city map of Munich containing 105 administrative districts.
● Data Source:
CranContrib
● Keywords: datasets
● Alias: MunichBnd
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1 images
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GAMart
(Package: R2BayesX) :
GAM Artificial Data Set
This is an artificial data set mainly used to test the R2BayesX interfacing functions. The data includes three different types of response variables. One numeric, one binomial and a categorical response with 4 different levels. In addition, several numeric and factor covariates are provided. The data set is constructed such that the observations are based upon different locations (pixels in ‘longitude’ and ‘latitude’ coordinates) obtained from a regular grid.
● Data Source:
CranContrib
● Keywords: datasets
● Alias: GAMart
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0 images
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This database produces a fantasy map of 10 regions.
● Data Source:
CranContrib
● Keywords: datasets
● Alias: FantasyBnd
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1 images
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The data set consists of 16 variables with 1796 observations on forest health to identify potential factors influencing the health status of trees and therefore the vital status of the forest. In addition to covariates characterizing a tree and its stand, the exact locations of the trees are known. The interest is on detecting temporal and spatial trends while accounting for further covariate effects in a flexible manner.
● Data Source:
CranContrib
● Keywords: datasets
● Alias: ForestHealth, forest
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0 images
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