spatial prediction

Spatial Interpolation Using Conditional Generative Adversarial Neural Networks

Spatial interpolation is a traditional geostatistical operation that aims at predicting the attribute values of unobserved locations given a sample of data defined on point supports. However, the continuity and heterogeneity underlying spatial data …

Understanding Place Characteristics in Geographic Contexts through Graph Convolutional Neural Networks

Inferring the unknown properties of a place relies on both its observed attributes and the characteristics of the places to which it is connected. Because place characteristics are unstructured and the metrics for place connections can be diverse, it …