The growing interest in the maintenance of favorable soil structure is largely motivated by its
central role in plant growth, soil ecological functioning, and impacts on surface water and …

Downscaling has an important role to play in remote sensing. It allows prediction at a finer
spatial resolution than that of the input imagery, based on either (i) assumptions or prior …

Spatial Data Science introduces fundamental aspects of spatial data that every data scientist
should know before they start working with spatial data. These aspects include how …

Differences in the reporting units of data from diverse sources and changes in units over
time are common obstacles to analysis of areal data. We compare common approaches to …

Sentinel-2 is a very new programme of the European Space Agency (ESA) that is designed
for fine spatial resolution global monitoring. Sentinel-2 images provide four 10 m bands and …

and chapter 7 focuses on modeling of spatial distribution of diseases. Finally, chapter 8
explains data-driven and knowledge-driven modeling for risk assessment and management …

With new chapters addressing spatial patterning in single variables and spatial relations,
this second edition provides guidance to a wide variety of real-world problems. Focusing on …

Sentinel-2 is a wide-swath and fine spatial resolution satellite imaging mission designed for
data continuity and enhancement of the Landsat and other missions. The Sentinel-2 data …

Data on population at building level is required for various purposes. However, to protect
privacy, government population data is aggregated. Population estimates at finer scales can …

In this chapter we review the statistical theory for soil map**. We focus on models
considered most suitable for practical implementation and use with soil profile data and …