The variance quadtree algorithm: Use for spatial sampling design

Minasny, Budiman; McBratney, Alex B.; Walvoort, D.J.J.

doi:10.1016/j.cageo.2006.08.009

Cited by 67 publications

(42 citation statements)

References 15 publications

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“…VQA was originally designed for purely spatial sampling of the normalized difference vegetation index, an index for the observable live green vegetation over an area (Minasny et al 2007). We transfer this application into a spatio-temporal framework.…”

Section: Methodsmentioning

confidence: 99%

“…The k-means-based algorithm presented in (Zagouras et al 2013) does not consider geographical structure of the data; instead, only the geometrical structure is considered. This may result in a geographically scattered network; it is therefore difficult to discern the clusters (Minasny et al 2007). In addition, a monitoring network design algorithm which considers the local variations is desired.…”

Section: Fundamentals and Limitations Of The Classic K-means Algorithmmentioning

confidence: 99%

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Solar irradiance monitoring network design using the variance quadtree algorithm

Yang

Reindl²

2015

Renewables

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Our aim is to determine the optimal placement of solar irradiance monitoring stations for renewable energy integration into electricity grids. Hourly SUNY satellite-derived irradiance over a rectangular grid of 34°to 44°N, 100°t o 110°W with a 0.1°resolution are used in this work. The variance quadtree algorithm is used to identify the regions with high spatio-temporal variations. The densities of monitoring stations over different regions therefore follow the empirical variation. The network design is compared to the results from the so-called "L-method". A discussion based on the network's predictive performance is also presented. We show that the unique design solution obtained using the L-method cannot capture the spatio-temporal variations embedded in irradiance random fields. A robust design should consider both the design requirements and functionalities of the monitoring network.

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Section: Methodsmentioning

confidence: 99%

Section: Fundamentals and Limitations Of The Classic K-means Algorithmmentioning

confidence: 99%

Solar irradiance monitoring network design using the variance quadtree algorithm

Yang

Reindl²

2015

Renewables

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“…Directed sampling strategies typically allow to reduce the number of samples for an efficient model parameter estimation (Fitzgerald et al 2006). Additional spatial optimization criteria can be included to maximize the spread of data to minimize the autocorrelation between observations (Lesch 2005), to reduce the costs of measurements (Minasny and McBratney 2006), or to intensify the number of samples where the variation is large (Minasny et al 2007). …”

Section: Principles Of Geophysical Techniques For Agriculturementioning

confidence: 99%

Geophysical Techniques for Plant, Soil, and Root Research Related to Sustainability

Bitella

Rossi

Loperte

et al. 2015

The Sustainability of Agro-Food and Natural Resource Systems in the Mediterranean Basin

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The sustainable management of human activities, from production to waste disposal and the cycling of finite resources, is one of the great challenges of research for the coming decades, stemming from societal needs and the growing awareness of environmental mechanisms.Research on geophysical methods provides an interdisciplinary approach to such challenges by addressing the need for techniques to assist in designing and monitoring strategies for sustainability in agriculture and other environment-related sciences.In the past few decades, technological advances have produced new tools or have improved existing techniques for near-surface geophysical investigation in a robust, cost-effective, and noninvasive way. Experimental results have proved that soil physical properties thus detected and mapped can be used as a proxy of physical, chemical, and biological features relevant for the appropriate management of soils, based on their behavior, spatial variability, and time dynamics.This chapter reviews principles of the techniques and reports selected research results on environmental and agronomic research.

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“…The resulting sample is called stratified sample. Accordingly, the sample of each stratum is independent also [15]. Furthermore, if the sampling method of each stratum is simple random sample, the sample is called stratified random sampling.…”

Section: Overviewmentioning

confidence: 99%

Examination Method and Implementation for Field Survey Data of Crop Types Based on Multi-resolution Satellite Images

Yang

Zhu

2011

Computer and Computing Technologies in Agriculture IV

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Abstract. In order to examine the accuracy of large amount of the field survey data with less accurate, an examination method based on multi-resolution satellite images was proposed in this paper. As there were so large amount of data, stratified random sampling was used to obtain effective samples. Firstly, vegetation index derived from low-resolution satellite images at different times has been adopted as analysis factor. And wave curve charts were drawn with the vegetation index. From those charts, the statistics law of wave curves for different crop types was recognized using for crop types' classification. Secondly, high-resolution satellite images were used to correct the area of crop types to get the final classification results. Finally, the accuracy of the field survey data can be calculated by comparing the original survey data with the final classification results. Moreover, for convenience using, a software has been developed according to the above examination method.

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The variance quadtree algorithm: Use for spatial sampling design

Cited by 67 publications

References 15 publications

Solar irradiance monitoring network design using the variance quadtree algorithm

Solar irradiance monitoring network design using the variance quadtree algorithm

Geophysical Techniques for Plant, Soil, and Root Research Related to Sustainability

Examination Method and Implementation for Field Survey Data of Crop Types Based on Multi-resolution Satellite Images

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