The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...

ISIW implements Inverse Sampling Intensity Weighting (ISIW) for adjusting geostatistical models under preferential sampling (PS). The method is introduced in: Hsiao, T. W. and Waller, L. A. (2025).

Abstract: A new modeling framework integrating Ramer-Douglas-Peucker (RDP) non-uniform sampling (NUS) with a Long Short-Term Memory (LSTM)-Fully Connected Network (FCN) hybrid neural network (LFN) is ...

Abstract: Convolution is fundamental in digital signal processing across many applications. Existing works enable N-point linear convolution via N-point right-angle circular convolution (RCC) based on ...