Spatial Modeling in GIS and R for Earth and Environmental Sciences

Spatial Modeling in GIS and R for Earth and Environmental Sciences
Author: Hamid Reza Pourghasemi,Candan Gokceoglu
Publsiher: Elsevier
Total Pages: 798
Release: 2019-01-18
ISBN 10: 0128156953
ISBN 13: 9780128156957
Language: EN, FR, DE, ES & NL

Spatial Modeling in GIS and R for Earth and Environmental Sciences Book Review:

Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. Offers a clear, interdisciplinary guide to serve researchers in a variety of fields, including hazards, land surveying, remote sensing, cartography, geophysics, geology, natural resources, environment and geography Provides an overview, methods and case studies for each application Expresses concepts and methods at an appropriate level for both students and new users to learn by example

Spatial Analysis

Spatial Analysis
Author: Paul A. Longley,Michael Batty
Publsiher: John Wiley & Sons
Total Pages: 400
Release: 1997-04-17
ISBN 10: 9780470236154
ISBN 13: 0470236159
Language: EN, FR, DE, ES & NL

Spatial Analysis Book Review:

Spatial Analysis: Modelling in a GIS Environment Edited by PaulLongley and Michael Batty Digital data and information are usedincreasingly by academics, professionals, local authorities, andgovernment departments. Powerful new technologies, such asgeographic information systems (GIS), are being developed toanalyse such data, and GIS technologies are rapidly becoming partof the emergent world digital infrastructure. This book shows howcomputer methods of analysis and modelling, built around GIS, canbe used to identify ways in which our cities and regions might bebetter planned and understood. The contributors to this book areall actively involved in research using geographic informationsystems. This book will be valuable reading for: * Geographers, researchers, and regional analysts * Population theorists and regional economists with interests inlarge-scale demographic and employment data * Planners and policy-makers who wish to use GIS to improve theirdecision making * Business analysts who wish to explore markets using the mostrecent advances in digital spatial data technology * All those interested in geodemographics Paul Longley is Professor of Geography at the Department ofGeography, University of Bristol, United Kingdom. Michael Batty isProfessor of Spatial Analysis and Planning at the UniversityCollege London. United Kingdom.

Gully Erosion Studies from India and Surrounding Regions

Gully Erosion Studies from India and Surrounding Regions
Author: Pravat Kumar Shit,Hamid Reza Pourghasemi,Gouri Sankar Bhunia
Publsiher: Springer Nature
Total Pages: 480
Release: 2019-11-19
ISBN 10: 3030232433
ISBN 13: 9783030232436
Language: EN, FR, DE, ES & NL

Gully Erosion Studies from India and Surrounding Regions Book Review:

This book offers the scientific basis for the ample evaluation of badland management in India and some surrounding regions. It examines the processes operating in the headwaters and main channels of ephemeral rivers in lateritic environments of India. In particular, the book covers a range of vital topics in the areas of gully erosion and water to soil erosion at lateritic uplands regions of India and other regions in Asia. It explores the probable gully erosion modeling through Remote Sensing & GIS Techniques. It is divided into three units. Unit I deals with the introduction of badland, types of badland and the process of badland formation. Unit II is devoted to a description of quantitative measurements. Unit III deals with the control and management processes related to various issues from different regions. As such this book serves as a reference book for research activities in this area. It is an efficient guide for aspiring researchers in applied geography, explaining advanced techniques to help students recognize both simple and complex concepts.

Quantitative Analysis and Modeling of Earth and Environmental Data

Quantitative Analysis and Modeling of Earth and Environmental Data
Author: Jiaping Wu,Junyu He,George Christakos
Publsiher: Elsevier
Total Pages: 420
Release: 2020-12-15
ISBN 10: 9780128163412
ISBN 13: 0128163410
Language: EN, FR, DE, ES & NL

Quantitative Analysis and Modeling of Earth and Environmental Data Book Review:

Quantitative Analysis and Modeling of Earth and Environmental Data: Applications for Spatial and Temporal Variation offers a systematic, quantitative analysis of multi-sourced data, including the spatial distribution and temporal dynamics of natural attributes. It covers data handling techniques that may vary by space and/or time, and aims to improve understanding of physical laws of change underlying available numerical datasets, while also considering in-situ uncertainties and relevant measurement errors (conceptual, technical, computational). Featuring real-world practical applications and practice exercises, this book is a comprehensive step-by-step tutorial of data-driven techniques that will help students and researchers master data analysis in earth and environmental sciences. The notions and methods presented in the book cover a wide range of data in various forms and sources, including hard measurements, soft observations, secondary information and auxiliary variables (ground-level measurements, satellite observations, scientific instruments and records, protocols and surveys, empirical models and charts). Addresses the analysis and processing data that varies spatially and/or temporally, which is the case with the majority of data in scientific and engineering disciplines Covers a wide range of data describing a variety of attributes characterizing physical phenomena and systems including earth, ocean and atmospheric variables, environmental and ecological parameters, population health states, disease indicators, and social and economic characteristics Includes case studies and practice exercises at the end of each chapter for both real-world applications and deeper understanding of the concepts presented

Applied Spatial Data Analysis with R

Applied Spatial Data Analysis with R
Author: Roger S. Bivand,Edzer Pebesma,Virgilio Gómez-Rubio
Publsiher: Springer Science & Business Media
Total Pages: 405
Release: 2013-06-21
ISBN 10: 1461476186
ISBN 13: 9781461476184
Language: EN, FR, DE, ES & NL

Applied Spatial Data Analysis with R Book Review:

Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. Compared to the first edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, public administration and political science. The book has a website where complete code examples, data sets, and other support material may be found: http://www.asdar-book.org. The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003.

GIS and Geostatistical Techniques for Groundwater Science

GIS and Geostatistical Techniques for Groundwater Science
Author: Dr. Senapathi Venkatramanan,Dr. Prasanna Mohan Viswanathan,Sang Yong Chung
Publsiher: Elsevier
Total Pages: 389
Release: 2019-05-28
ISBN 10: 0128154144
ISBN 13: 9780128154144
Language: EN, FR, DE, ES & NL

GIS and Geostatistical Techniques for Groundwater Science Book Review:

GIS and Geostatistical Techniques for Groundwater Science provides a detailed synthesis of the application of GIS and geostatistics in groundwater studies. As the book illustrates, GIS can be a powerful tool for developing solutions for water resource problems, assessing water quality, and managing water resources. Beginning with an introduction to the history of GIS and geostatistical techniques in groundwater studies, the book then describes various spatial techniques, including case studies for various applications, from quality assessment, to resource management. This book assembles the most up-to-date techniques in GIS and geostatistics as they relate to groundwater, one of our most important natural resources. Provides details on the application of GIS and statistics in groundwater studies Includes practical coverage of the use of spatial analysis techniques in groundwater science Bridges the gap between geostatistics and GIS as it relates to groundwater science and management Offers worldwide case studies to illustrate various techniques and applications in addressing groundwater issues

Advanced Environmental Monitoring with Remote Sensing Time Series Data and R

Advanced Environmental Monitoring with Remote Sensing Time Series Data and R
Author: Alexandra Gemitzi,Nikolaos Koutsias,Venkat Lakshmi
Publsiher: CRC Press
Total Pages: 102
Release: 2019-11-20
ISBN 10: 042955267X
ISBN 13: 9780429552670
Language: EN, FR, DE, ES & NL

Advanced Environmental Monitoring with Remote Sensing Time Series Data and R Book Review:

This book provides a step-by-step guide on how to use various publicly available remotely sensed time series data sources for environmental monitoring and assessment. Readers will learn how to extract valuable information on global changes from a 20-year collection of ready-to-use remotely sensed data through the free open statistical software R and its geographic data analysis and modeling tools. The case studies are from the Mediterranean region—a designated hot spot regarding climate change effects. Each chapter is dedicated to specific remote sensing products chosen for their spatial resolution. The methods used are adapted from large-scale to smaller-scale problems for different land cover areas. Features Includes real-world applications of environmental remotely sensed data Analyzes the advantages and restrictions of each data source Focuses on a wide spectrum of applications, such as hydrology, vegetation changes, land surface temperature, fire detection, and impacts Includes R computer codes with explanatory comments and all applications use only freely available remotely sensed data Presents a step-by-step processing through open source GIS and statistical analysis software Advanced Environmental Monitoring with Remote Sensing Time Series Data and R describes and provides details on recent advances concerning publicly available remotely sensed time series data in environmental monitoring and assessment. This book is a must-have practical guide for environmental researchers, professionals, and students.

Spatial Analysis and Modeling in Geographical Transformation Process

Spatial Analysis and Modeling in Geographical Transformation Process
Author: Yuji Murayama,Rajesh Bahadur Thapa
Publsiher: Springer Science & Business Media
Total Pages: 302
Release: 2011-02-26
ISBN 10: 9789400706712
ISBN 13: 9400706715
Language: EN, FR, DE, ES & NL

Spatial Analysis and Modeling in Geographical Transformation Process Book Review:

Currently, spatial analysis is becoming more important than ever because enormous volumes of spatial data are available from different sources, such as GPS, Remote Sensing, and others. This book deals with spatial analysis and modelling. It provides a comprehensive discussion of spatial analysis, methods, and approaches related to human settlements and associated environment. Key contributions with empirical case studies from Iran, Philippines, Vietnam, Thailand, Nepal, and Japan that apply spatial analysis including autocorrelation, fuzzy, voronoi, cellular automata, analytic hierarchy process, artificial neural network, spatial metrics, spatial statistics, regression, and remote sensing mapping techniques are compiled comprehensively. The core value of this book is a wide variety of results with state of the art discussion including empirical case studies. It provides a milestone reference to students, researchers, planners, and other practitioners dealing the spatial problems on urban and regional issues. We are pleased to announce that this book has been presented with the 2011 publishing award from the GIS Association of Japan. We would like to congratulate the authors!

Natural Hazards GIS Based Spatial Modeling Using Data Mining Techniques

Natural Hazards GIS Based Spatial Modeling Using Data Mining Techniques
Author: Hamid Reza Pourghasemi,Mauro Rossi
Publsiher: Springer
Total Pages: 296
Release: 2018-12-13
ISBN 10: 3319733834
ISBN 13: 9783319733838
Language: EN, FR, DE, ES & NL

Natural Hazards GIS Based Spatial Modeling Using Data Mining Techniques Book Review:

This edited volume assesses capabilities of data mining algorithms for spatial modeling of natural hazards in different countries based on a collection of essays written by experts in the field. The book is organized on different hazards including landslides, flood, forest fire, land subsidence, earthquake, and gully erosion. Chapters were peer-reviewed by recognized scholars in the field of natural hazards research. Each chapter provides an overview on the topic, methods applied, and discusses examples used. The concepts and methods are explained at a level that allows undergraduates to understand and other readers learn through examples. This edited volume is shaped and structured to provide the reader with a comprehensive overview of all covered topics. It serves as a reference for researchers from different fields including land surveying, remote sensing, cartography, GIS, geophysics, geology, natural resources, and geography. It also serves as a guide for researchers, students, organizations, and decision makers active in land use planning and hazard management.

An Introduction to R for Spatial Analysis and Mapping

An Introduction to R for Spatial Analysis and Mapping
Author: Chris Brunsdon,Lex Comber
Publsiher: SAGE
Total Pages: 336
Release: 2018-12-10
ISBN 10: 152645422X
ISBN 13: 9781526454225
Language: EN, FR, DE, ES & NL

An Introduction to R for Spatial Analysis and Mapping Book Review:

This is a new edition of the accessible and student-friendly 'how to' for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping. The authors, once again, take readers from ‘zero to hero’, updating the now standard text to further enable practical R applications in GIS, spatial analyses, spatial statistics, web-scraping and more. Revised and updated, each chapter includes: example data and commands to explore hands-on; scripts and coding to exemplify specific functionality; self-contained exercises for students to work through; embedded code within the descriptive text. The new edition includes detailed discussion of new and emerging packages within R like sf, ggplot, tmap, making it the go to introduction for all researchers collecting and using data with location attached. This is the introduction to the use of R for spatial statistical analysis, geocomputation, and GIS for all researchers - regardless of discipline - collecting and using data with location attached.

Environmental Modelling with GIS and Remote Sensing

Environmental Modelling with GIS and Remote Sensing
Author: Andrew Skidmore
Publsiher: CRC Press
Total Pages: 268
Release: 2017-08-11
ISBN 10: 0203302214
ISBN 13: 9780203302217
Language: EN, FR, DE, ES & NL

Environmental Modelling with GIS and Remote Sensing Book Review:

Most government agencies and private companies are investing significant resources in the production and use of geographical data. The capabilities of Geographical Information Systems (GIS) for data analysis are also improving, to the extent that the potential performance of GIS software and the data available for analysis outstrip the abilities of

Geographical Data Science and Spatial Data Analysis

Geographical Data Science and Spatial Data Analysis
Author: Lex Comber,Chris Brunsdon
Publsiher: SAGE
Total Pages: 360
Release: 2020-12-02
ISBN 10: 1526485435
ISBN 13: 9781526485434
Language: EN, FR, DE, ES & NL

Geographical Data Science and Spatial Data Analysis Book Review:

We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial – it is collected some-where – and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges. Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (ie the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics. This is a ‘learning by doing’ text book, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.

Spatial Statistics

Spatial Statistics
Author: Mohammed A. Kalkhan
Publsiher: CRC Press
Total Pages: 184
Release: 2011-05-09
ISBN 10: 1439891117
ISBN 13: 9781439891117
Language: EN, FR, DE, ES & NL

Spatial Statistics Book Review:

Geospatial information modeling and mapping has become an important tool for the investigation and management of natural resources at the landscape scale. Spatial Statistics: GeoSpatial Information Modeling and Thematic Mapping reviews the types and applications of geospatial information data, such as remote sensing, geographic information systems

Remote Sensing and GIS for Ecologists

Remote Sensing and GIS for Ecologists
Author: Martin Wegmann,Benjamin Leutner,Stefan Dech
Publsiher: Pelagic Publishing Ltd
Total Pages: 352
Release: 2016-02-08
ISBN 10: 1784270245
ISBN 13: 9781784270247
Language: EN, FR, DE, ES & NL

Remote Sensing and GIS for Ecologists Book Review:

This is a book about how ecologists can integrate remote sensing and GIS in their daily work. It will allow ecologists to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving ecologically relevant information through remote sensing and modelling of species distributions. All practical examples in this book rely on OpenSource software and freely available data sets. Quantum GIS (QGIS) is introduced for basic GIS data handling, and in-depth spatial analytics and statistics are conducted with the software packages R and GRASS. Readers will learn how to apply remote sensing within ecological research projects, how to approach spatial data sampling and how to interpret remote sensing derived products. The authors discuss a wide range of statistical analyses with regard to satellite data as well as specialised topics such as time-series analysis. Extended scripts on how to create professional looking maps and graphics are also provided. This book is a valuable resource for students and scientists in the fields of conservation and ecology interested in learning how to get started in applying remote sensing in ecological research and conservation planning.

Geocomputation with R

Geocomputation with R
Author: Robin Lovelace,Jakub Nowosad,Jannes Muenchow
Publsiher: CRC Press
Total Pages: 335
Release: 2019-03-22
ISBN 10: 1351396900
ISBN 13: 9781351396905
Language: EN, FR, DE, ES & NL

Geocomputation with R Book Review:

Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), "bridges" to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems. Solutions for each chapter and supplementary materials providing extended examples are available at https://geocompr.github.io/geocompkg/articles/. Dr. Robin Lovelace is a University Academic Fellow at the University of Leeds, where he has taught R for geographic research over many years, with a focus on transport systems. Dr. Jakub Nowosad is an Assistant Professor in the Department of Geoinformation at the Adam Mickiewicz University in Poznan, where his focus is on the analysis of large datasets to understand environmental processes. Dr. Jannes Muenchow is a Postdoctoral Researcher in the GIScience Department at the University of Jena, where he develops and teaches a range of geographic methods, with a focus on ecological modeling, statistical geocomputing, and predictive mapping. All three are active developers and work on a number of R packages, including stplanr, sabre, and RQGIS.

Spatial Analysis with R

Spatial Analysis with R
Author: Tonny J. Oyana
Publsiher: CRC Press
Total Pages: 334
Release: 2020-09-01
ISBN 10: 100017347X
ISBN 13: 9781000173475
Language: EN, FR, DE, ES & NL

Spatial Analysis with R Book Review:

In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R. The use and growth of artificial intelligence, machine learning and deep learning algorithms with a spatial perspective, and the interdisciplinary use of spatial analysis are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis. Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial relationships and patterns, and predict spatial processes. New in the Second Edition: Includes new practical exercises and worked-out examples using R Presents a wide range of hands-on spatial analysis worktables and lab exercises All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods Explains big data, data management, and data mining This second edition of an established textbook, with new datasets, insights, excellent illustrations, and numerous examples with R, is perfect for senior undergraduate and first-year graduate students in geography and the geosciences.

GeoSpatial Visual Analytics

GeoSpatial Visual Analytics
Author: Raffaele de Amicis,R. Stojanovic,Giuseppe Conti
Publsiher: Springer Science & Business Media
Total Pages: 508
Release: 2009-07-11
ISBN 10: 9048128994
ISBN 13: 9789048128990
Language: EN, FR, DE, ES & NL

GeoSpatial Visual Analytics Book Review:

Access, distribution and processing of Geographic Information (GI) are basic preconditions to support strategic environmental decision-making. The heterogeneity of information on the environment today available is driving a wide number of initiatives, on both sides of the Atlantic, all advocating both the strategic role of proper management and processing of environme- related data as well as the importance of harmonized IT infrastructures designed to better monitor and manage the environment. The extremely wide range of often multidimensional environmental information made available at the global scale poses a great challenge to technologists and scientists to find extremely sophisticated yet effective ways to provide access to relevant data patterns within such a vast and highly dynamic information flow. In the past years the domain of 3D scientific visualization has developed several solutions designed for operators requiring to access results of a simulation through the use of 3D visualization that could support the understanding of an evolving phenomenon. However 3D data visualization alone does not provide model and hypothesis-making neither it provide tools to validate results. In order overcome this shortcoming, in recent years scientists have developed a discipline that combines the benefits of data mining and information visualization, which is often referred to as Visual Analytics (VA).

International GIS Sourcebook

International GIS Sourcebook
Author: Anonim
Publsiher: Unknown
Total Pages: 329
Release: 1993
ISBN 10:
ISBN 13: UOM:39015048294766
Language: EN, FR, DE, ES & NL

International GIS Sourcebook Book Review:

A Compendium of References to Publications on Spatial Analysis Applied to Natural Resource Management as Authored by U S University Faculty Members

A Compendium of References to Publications on Spatial Analysis Applied to Natural Resource Management as Authored by U S  University Faculty Members
Author: Anonim
Publsiher: Unknown
Total Pages: 74
Release: 1992
ISBN 10:
ISBN 13: CORNELL:31924062784826
Language: EN, FR, DE, ES & NL

A Compendium of References to Publications on Spatial Analysis Applied to Natural Resource Management as Authored by U S University Faculty Members Book Review:

Applications of GIS to the Modeling of Non point Source Pollutants in the Vadose Zone

Applications of GIS to the Modeling of Non point Source Pollutants in the Vadose Zone
Author: Dennis L. Corwin,Keith Michael Loague
Publsiher: Unknown
Total Pages: 319
Release: 1996
ISBN 10:
ISBN 13: STANFORD:36105020456203
Language: EN, FR, DE, ES & NL

Applications of GIS to the Modeling of Non point Source Pollutants in the Vadose Zone Book Review:

The Application of Advanced Information Technology in Assessing Environmental Impacts. Opportunities and Limitations of GIS-Based Modeling of Solute Transport at the Regional Scale. Geostatistics: Tools for Advanced Spatial Modeling in GIS. Stochastic Solute Transport Modeling Trends and Their Potential Compatibility with GIS. GIS Applications of Deterministic Solute Transport Models for Regional-Scale Assessment of Non- Point Source Pollutants in the Vadose Zone. The Influence of Transport Variability Structure on Parameter Estimation and Model Discrimination in Field Soils Uncertainty in Regional-Scale Assessments of Non-Point Source Pollutants Sensitivity Analysis for Regional-Scale Solute Transport Modeling GIS and Hydrologic Models of Non-Point Source Pollutants in Subsurface Water. Application of Soil Survey Attribute Data to GIS Pollution Assessment Models. Methods for Estimate Soil Hydraulic Parameters for Regional-Scale Applications of Mechanistic Models. Mapping the Areal Distribution of Soil Parameters with Geophysical Techniques. An Integrated Approach for Modeling Water Flow and Solute Transport in the Vadose Zone. Unsatchemgeo: Modeling Water Flow and Multicomponent Solute Transport in a GIS Context. Baseflow Mapping of the South-Central and Southeastern United States Using GIS. Application of GIS to the Modeling of Pesticide Leaching on a Regional Scale in the Netherlands. NLEAP/GIS Approach for Identifying and Mitigating Regional NO3-N Leaching. GIS Applications to the Basin-Scale Assessment of Soil Salinity and Salt Loading to Groundwater.