Mon premier blog

Statistics for Spatio-Temporal Data by Noel Cressie, Christopher K. Wikle

Statistics for Spatio-Temporal Data Noel Cressie, Christopher K. Wikle ebook
Publisher: Wiley
Page: 624
Format: epub
ISBN: 0471692743, 9780471692744

(This article was first published on Intelligent Trading, and kindly contributed to R-bloggers). Time-series 250-m vegetation-index (VI) data acquired from the Moderate Resolution Imaging Spectroradiometer (MODIS) provide valuable information for monitoring the spatiotemporal changes of corn growth across large geographic areas. The goal of this Weekly crop progress reports produced by the U.S. Arc Diagram and spatiotemporal data mining visualization. How to access and query Linked Spatiotemporal Data of the deforestation statistics related to the Brazilian Amazon Rainforest, and; how to analyze it within R (which is a free software environment for statistical computing). As a multidisciplinary field, Visual Analytics combines several disciplines such as human perception and cognition, interactive graphic design, statistical computing, data mining, spatio-temporal data analysis, and even art. In this thesis I present such generally applicable, statistical methods that address all three problems in a unifying approach. There are many visual methods used to identify patterns in space and time. It is, however, far more complex than traditional databases, since the management and analysis of spatial data must be considered in three-dimensions and spatial analysis goes beyond the scope of standard statistics. It's About Space and Time: From the Modifiable Areal Unit Problem (MAUP) to the Modifiable Temporal Unit Problem (MTUP) to the Modifiable Spatio-Temporal Unit Problem (MSTUP) many facets of space-time dynamics, from semantics and ontology (how we think about the system), to representation of space-time objects and space-time fields (how they move, morph and change) to the statistical and mathematical modeling of time-dynamic geographic systems. Such an application provides researchers with the ability to visually search the data for clusters in both a statistical model view and a spatio-temporal view. Department of Agriculture National Agricultural Statistics Service (NASS) were used to assess the accuracy of TSF-based estimates of corn developmental stages.