An interactive five-chart data story showing how Australia’s rising heat connects with existing pressure on emergency departments and hospital waiting times across states and territories.

We analyse the spatial point pattern of Warsaw Veturilo bike-sharing stations in two contrasting districts — the dense historic core (Śródmieście) and a large mixed/peripheral district (Mokotów). Using kernel intensity estimation, Ripley’s K/L and the pair correlation function with Monte-Carlo envelopes, nonparametric covariate analysis (rhohat) and inhomogeneous Poisson process models (ppm), we test whether an inhomogeneous Poisson process explains the observed pattern. Apparent clustering in Śródmieście disappears once spatially varying intensity is accounted for; the pattern is well described by an inhomogeneous Poisson process driven primarily by metro proximity. Mokotów shows only weak, borderline inhomogeneity and is effectively consistent with a Poisson process at its smaller sample size.

A project for the course: Point and Linear Pattern Analysis. Its aim is to examine relation between location of fast food restaurants and location of schools in Warsaw.

Simulasi efek sebaran populasi pada performa uji nilai tengah satu populasi

The objective of this study is to optimize the ethanol content produced from fresh banana stems (Musa paradisiaca Linn) using Box–Behnken Design (BBD) coupled with Response Surface Methodology (RSM). The study aims to determine the optimal combination of fermentation parameters specifically commercial dry yeast loading (g/L), fermentation time (days), and fermentation temperature (°C) that maximizes ethanol yield. Prior to this optimization, the hydrolysis stage was independently optimized by evaluating different sulfuric acid concentrations, and the optimal condition was selected and held constant throughout the fermentation experiments. Under these controlled hydrolysis conditions, the fermentation process is systematically investigated to quantify the main, interaction, and quadratic effects of the selected variables on ethanol production. A sequential experimental design approach was employed. Initially, key process parameters were identified and preliminary conditions optimized. Subsequently, a Box–Behnken design (BBD) within the framework of response surface methodology (RSM) was applied to evaluate the effects of yeast loading, fermentation time, and temperature on ethanol production. This approach enabled the modeling of quadratic and interaction effects for process optimization.

Point Pattern Analysis of fitness centers in the city of Kraków