isprs annals IV 4 W2 15 2017
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The smaller AUC value of the survey data shows that the model cannot predict travel destination using the inputs of other data sources as accurate as the Tweets based data source..
Figure 10 and Figure 11 show Probplot-plot of Gamma and Lognormal distributions fitting to data with temporal resolution of 3 and 12 hourly and spatial resolution of 0.25 o
In some key areas in mainland US, such as west coast, Mississippi River area, central region and northeast part, some significant kinematics changes of
Thus, along with traditional data sources such as census, SEDE is able to provide tweet based population statistics such as total tweets and total users for different spatial
The proposed framework is composed of two parts: data management and data processing as shown in Figure 1. In the data management part, the Lidar data can be directly fetched
KEY WORDS: rapid intensification prediction, tropical cyclones, LSTM, deep learning, class imbalanced
With funding from the Sloan Foundation and Harvard Dataverse, the Harvard Center for Geographic Analysis (CGA) has developed a prototype spatio-temporal visualization platform
The registry API, which is built on top of Solr using Swagger, provides advanced search functionalities to WorldMap: users are able to locate spatio/temporal information using
