isprs annals IV 4 W2 61 2017
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In this paper, we undertake a feasibility study of using the field stream model and the open source Data Stream Engine (DSE) Apache Spark(Apache Spark, 2017) to implement a
This paper examines the multi-spatiotemporal patterns of burglary crimes in Chicago between 2006 and 2016. Three spatial scales: police district, community and police beat,
Most traditional methods for rice mapping with remote sensing data are effective when they are applied to the initial growing stage of rice, as the practice of flooding during
To achieve realistic simulation of the spatiotemporal dynamics of ocean carbon, a cloud-driven digital earth platform is developed to support the interactive analysis and display
The model addresses the semantic challenge of preserving identity of geographic entities over time by defining criteria for the entity existence, a set of events that may affect
This first calibration and validation study for using agent based modeling for the fine-scale spatio-temporal analysis of Pertussis as a method for measuring the
In order to handle missing values in time series, as well as the lack of considering temporal properties in machine learning models, we propose a spatiotemporal prediction
Following the successful first International Symposium on Spatiotemporal Computing held in July 2015 (ISSC’2015) at George Mason University, Fairfax, VA, the second International