The RGPM methodology is designed for jointly learning an optimal grid and scoring function for the purpose of maximizing PAI in crime forecasts.

This report presents a novel method for crime forecasts that selects an optimal grid size and orientation in combination with a scoring function that ...

Jul 19, 2018 · Here we present a novel methodology that jointly (1) selects an optimal grid size and orientation and (2) learns a scoring function with the aim ...

Oct 22, 2024 · The PAI and PEI have emerged as metrics of choice for crime models owing to the need to maximize the volume of crime in predicted hotspots to ...

Jul 19, 2018 · The standard approach for determining hotspots consists of dividing a city into geographic subregions, often grid cells, and scoring hotspots ...

This work presents a novel methodology that jointly selects an optimal grid size and orientation and learns a scoring function with the aim of directly ...

Here we present a novel methodology that jointly (1) selects an optimal grid size and orientation and (2) learns a scoring function with the aim of directly ...

Crime forecasts are sensitive to the spatial discretizations on which they are defined. Furthermore, while the Predictive Accuracy Index (PAI) is a common ...

Title, Rotational Grid, PAI-maximizing Crime Forecasts ; Authors, George Mohler, Michael D. Porter ; Published, 2017 ; Length, 17 pages.

Mohler, George, and Porter, Michael D. Rotational grid, PAI-maximizing crime forecasts. Statistical Analysis and Data Mining: The ASA Data Science Journal 11.5 ...