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2 articles for “Hybrid spatial indexing”
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A Proposed Hybrid Spatial Indexing: QX Tree
Abstract: Out of different spatial indexing structures available for accessing spatial data, none of them is suitable for high dimensions. This is because the performance of the spatial indexing structures become poorer with the increase in dimension. Thus there is a need for a better spatial indexing structure for the same. Here we have proposed a hybrid indexing structure by combining the Quad Tree and X Tree. We have considered the …
Published in Recent Trends in Programming languages · Vol. 2, Issue 1, 2015 · pp. 23–27 Read article
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Geo-spatial Predictions of Soil Organic Carbon: A Review
Abstract: Soil Organic Carbon (SOC) plays an important role in conservation of biophysical environment, i.e., biogeochemical cycles, soil fertility, water quality, atmospheric carbon control, temperature control, sustainable land management and food production. Geo-statistical techniques can be useful for precise estimations and preparation of high quality SOC maps essential for planning and monitoring the biophysical environment. Several studies have used geo-statistical techniques successfully for description of spatial patterns, quantitative modeling, spatial predictions …
Published in Journal of Remote Sensing & GIS · Vol. 5, Issue 2, 2014 · pp. 23–39 Read article