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In: Utilisation of grazed grass in temperate animal systems
In: Utilisation of grazed grass in temperate animal systems
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Abstract

This article introduces a newly constructed dataset (i.e. the Tafel v-bis Dataset) containing summary information for all Dutch citizens who died in 1921 and were subject to inheritance taxation. This dataset provides personal and socio-economic information on 24,263 individuals, including their total wealth, age, profession, residence and marital status at their time of death. Consequently, this dataset can be useful for researchers stemming from various academic disciplines. The article first discusses the range of possible uses of the dataset. Then the authors explain how they constructed the dataset and provide the necessary criticism regarding the underlying source material. The dataset is available via the Utrecht University data platform, yoda.

Open Access
In: Research Data Journal for the Humanities and Social Sciences
In: XX International Grassland Conference: Offered papers
In: XX International Grassland Conference: Offered papers
In: Optimisation of nutrient cycling and soil quality for sustainable grasslands
In: Optimisation of nutrient cycling and soil quality for sustainable grasslands

A combined spatial-aspatial clustering approach for partitioning tree-based data in orchards was developed. The method employs the Getis-Ord Gi* statistic applied to the analysis of individual tree data in a grapefruit orchard located near the city of Adana, Turkey. Analyzed tree-variables included yield (total fruit weight per tree) and two possible yield-determining variables, tree size measured as tree trunk circumference (cm) and soil properties measured by the soil apparent electrical conductivity (ECa (mS/m)). Data were collected from 179 trees. The developed method was applied to the analysis of ‘hot-spots’ (clusters of high data values) and ‘cold-spots’ (clusters of low data values) in orchards and compared to the k-means clustering algorithm, an aspatial clustering method widely-used in agriculture. The combined method improved results by both discriminating among feature values as well as representing their spatial structure and therefore represents a superior technique for identifying homogenous spatial clusters in orchards. The approach can be used for delineating management zones for optimal precision management of tree crops.

In: Precision agriculture '15