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With the wide application of various agriculture IOT sensor equipment, sensor networks produce ample data for observing dynamic soil properties in farmland. But data processing for analysis and visualization become increasingly difficult as data dimensionality increases. Meanwhile the devices sometimes lose data because of damage and power outages. In this study, exploratory data analysis (EDA) and spatiotemporal interpolation including time as a third dimension and spatial-temporal variogramdoi:10.12783/dtetr/mimece2016/10002 fatcat:v4bjwkpz4vhrppeiw77fbbai34