In the world of spatial analysis, where data points are scattered across a landscape, a fundamental question arises: how can we estimate the value at a location we haven't sampled? For most geoscientists, the answer is kriging. Far more than a simple interpolation...
A significant portion of the data analyzed geostatistically doesn’t consist of simple numerical values like temperature or elevation. Instead, we often deal with compositional data—parts of a whole that are constrained to sum to a constant. Think of a rock sample's...
At its core, Geospatial data involves information about the physical location and characteristics of features and events on Earth. Geospatial data can be collected from various sources, including satellite imagery, GPS devices, mobile phones, and social media...
Nuclear energy stands out as a powerful yet complex source in the rapidly evolving world of energy production. It offers a low-carbon alternative to fossil fuels, making it a critical player in the fight against climate change. However, the challenges associated with...
In public health, visualizing, analyzing, and interpreting the spatial distribution of diseases is critical for effective disease prevention, control, and resource allocation. Data mapping provides valuable insights into the spatial patterns of diseases, such as...
In the dynamic landscape of artificial intelligence (AI), one of the most intriguing and impactful frontiers is the integration of geostatistical learning. Geostatistics, the science of analyzing and modeling spatial variability, has found a natural ally in AI,...
Geostatistics—a branch of statistics tailored for spatial data analysis—has seen significant advancements in recent years. Kriging and Co-Kriging are popular geostatistical techniques for spatial interpolation and prediction. These methods are essential in various...
Maps play a crucial role in representing spatial information, allowing us to visualize and analyze data in a geospatial context. However, one critical aspect that significantly influences the interpretation and accuracy of data analysis on maps is its level of detail...
Artificial intelligence (AI) has become a hot topic of discussion with the recent release and growing popularity of ChatGPT. One of the areas where AI is making a significant impact is in public health. The integration of geographic information systems (GIS) and AI...
In geostatistics, a spatial support refers to the size and shape of the area or volume over which a variable of interest is measured or observed. Examples of spatial support include the volume of a soil core analyzed to measure pH, the pixel size in satellite imagery,...