This book investigates the mathematical and statistical challenges of quantifying and managing error propagation within Geographic Information Systems (GIS) when applied to environmental modeling. Gerard B. M. Heuvelink, a recognized expert in spatial statistics and soil science, provides a rigorous framework for understanding how input uncertainties in spatial data translate into output inaccuracies. The text synthesizes geostatistical theory with practical computational methods to offer a systematic approach for researchers and practitioners to assess the reliability of their spatial models.

Experts in the field of geoinformatics identify this text as a foundational resource for understanding the limitations of spatial modeling. Readers frequently note the high level of mathematical density, making it a primary reference for advanced students and professionals in environmental science and cartography.