ABSTRACT

When compared to classical sciences such as math, with roots in prehistory, and physics, with roots in antiquity, geographical information science (GISci) is the new kid on the block. Its theoretical foundations are therefore still developing and data quality and uncertainty modeling for spatial data and spatial analysis is an important branch of t

part |2 pages

Section I: Overview

chapter 1|12 pages

Introduction

chapter 3|52 pages

3Chapter Mathematical Foundations

part |2 pages

Section II: Modeling Uncertainties in Spatial Data

part |2 pages

Section III: Modeling Uncertainties in Spatial Model

part |2 pages

Section IV: Modeling Uncertainties in Spatial Analyses

part |2 pages

Section V: Quality Control of Spatial Data

part |2 pages

Section VI: Presentation of Data Quality Information

part |2 pages

Section VII: Epilogue

chapter 18|8 pages

Epilogue