Airbnb has been increasingly gaining popularity since 2008 due to its low prices and direct interactions with the local community. This paper employed a general linear model (GLM) and a geographically weighted regression (GWR) model to identify the key factors affecting Airbnb listing prices using data sets of 794 samples of Airbnb listings of business units in Metro Nashville, Tennessee. The r...

While recent developments have extended geographically weighted regression (GWR) in many directions, it is usually assumed that the relationships between dependent and independent variables are linear. In practice, however, often case nonlinearly associated. To address this issue, we propose a artificial neural network (GWANN). GWANN combines geographical weighting with networks, which able to ...

High spatial resolution (1 km or finer) precipitation data fields are crucial for understanding the Earth’s water and energy cycles at regional scale applications. The of Global Precipitation Measurement (GPM) mission (IMERG) satellite products is 0.1° (latitude) × (longitude), which too coarse regional-scale analysis. This study combined Geographically Weighted Regression (GWR) Multifractal Ra...

The percentage of undernourished toddlers on Java Island averages 8.5 %. This number is relatively high compared to the average incidence undernutrition in Sumatra, 3.3%. study uses OLS, GWR, and GWANN explore data Island. We use cross-validation determine optimum bandwidth GWR methods. a single hidden layer with several neurons where selected based RMSE. indicators RMSE, MAE, MAPE best method ...