Hong Kong Species Occurrence Predictor

Introduction

Despite the size of Hong Kong is relatively small, it is home to over 1,000 species of animals. This web application collected the occurrence data of these species from 2001 to 2024 and uses machine learning to predict their potential distribution in 2025.

The predictive model is a Convolutional Neural Network with Long Short-Term Memory (CNN-LSTM) deep learning model adapted from Andrea Palazzi's model.

Sample Inference and Validation

The predictions from the deep learning model are shown in shades of red. The darker the shade, the larger the probability of the occurrence. The blue squares are the actual occurrences from the validation year.