Effects of Sampling Interval on Spatial Patterns and Statistics of Watershed Nitrogen Concentration

This study investigates how spatial patterns and statistics of a 30 m resolution, model-simulated, watershed nitrogen concentration surface change with sampling intervals from 30 m to 600 m for every 30 m increase for the Little River Watershed (Georgia, USA). The results indicate that the mean, sta...

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Bibliographic Details
Published inGIScience and remote sensing Vol. 46; no. 2; pp. 172 - 186
Main Authors Wu, Shuo-sheng "Derek", Usery, E. Lynn, Finn, Michael P., Bosch, David D.
Format Journal Article
LanguageEnglish
Published Taylor & Francis Group 01.04.2009
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Summary:This study investigates how spatial patterns and statistics of a 30 m resolution, model-simulated, watershed nitrogen concentration surface change with sampling intervals from 30 m to 600 m for every 30 m increase for the Little River Watershed (Georgia, USA). The results indicate that the mean, standard deviation, and variogram sills do not have consistent trends with increasing sampling intervals, whereas the variogram ranges remain constant. A sampling interval smaller than or equal to 90 m is necessary to build a representative variogram. The interpolation accuracy, clustering level, and total hot spot areas show decreasing trends approximating a logarithmic function. The trends correspond to the nitrogen variogram and start to level at a sampling interval of 360 m, which is therefore regarded as a critical spatial scale of the Little River Watershed.
ISSN:1548-1603
1943-7226
DOI:10.2747/1548-1603.46.2.172