The primary focus of this text is on the process of cartographic modeling and GIS modeling. The text goes beyond cartographic modeling to incorporate supplementary or complementary technologies and logics to show that spatio-temporal modeling is not limited to cartographic modeling, nor to Map Algebra. DeMers consistent, friendly and engaging style has been highly praised by reviewers of this title as well as users of his market leading Fundamentals of Geographic Information Systems.
A foundational work in the field of geographic information systems (GIS) thatintroduces the concepts, conventions, and capabilities of map algebra systemsas a general language, and the analytical use of raster-based GIS.
Geographic Information Systems for Geoscientists: Modelling with GIS provides an introduction to the ideas and practice of GIS to students and professionals from a variety of geoscience backgrounds. The emphasis in the book is to show how spatial data from various sources (principally paper maps, digital images and tabular data from point samples) can be captured in a GIS database, manipulated, and transformed to extract particular features in the data, and combined together to produce new derived maps, that are useful for decision-making and for understanding spatial interrelationship. The book begins by defining the meaning, purpose, and functions of GIS. It then illustrates a typical GIS application. Subsequent chapters discuss methods for organizing spatial data in a GIS; data input and data visualization; transformation of spatial data from one data structure to another; and the combination, analysis, and modeling of maps in both raster and vector formats. This book is intended as both a textbook for a course on GIS, and also for those professional geoscientists who wish to understand something about the subject. Readers with a mathematical bent will get more out of the later chapters, but relatively non-numerate individuals will understand the general purpose and approach, and will be able to apply methods of map modeling to clearly-defined problems.
In the five years since the publication of the first edition of A Guide to Effective Map Design, cartography and software have become further intertwined. However, the initial motivation for publishing the first edition is still valid: many GISers enter the field without so much as one hour of design instruction in their formal education. Yet they are then tasked with creating one the most effective, easily recognized communication tools: a map. See What’s New in the Second Edition Projection theory Hexagonal binning Big Data point density maps Scale dependent map design 3D building modeling Digital cartography and its best practices Updated graphics and references Study questions and lab exercises at the end of each chapter In this second edition of a bestseller, author Gretchen Peterson takes a "don’t let the technology get in the way" approach to the presentation, focusing on the elements of good design, what makes a good map, and how to get there, rather than specific software tools. She provides a reference that you can thumb through time and again as you create your maps. Copiously illustrated, the second edition explores novel concepts that kick-start your pursuit of map-making excellence. The book doesn’t just teach you how to design and create maps, it teaches you how to design and create better maps.
Backed by the collective knowledge and expertise of the worlds leading Geographic Information Systems company, this volume presents the concepts and methods unleashing the full analytic power of GIS.
"Building accurate geodatabases is the foundation for meaningful and reliable GIS. By documenting actual case studies of successful ArcGIS implementations, Designing Geodatabases makes it easier to envision your own database plan."--Jacket.
Many, like Chrisman, have since become leaders in GIS-related education, research, and software engineering. Illustrated with numerous maps, drawings, diagrams, and photos, Charting the Unknown's twelve chapters are supplemented with a CD that contains three historic short films showing animated visualization. In addition, the CD contains videotaped interviews and a speech featuring some of the Lab's key figures, including Allan Schmidt, former executive director of the Lab; Eric Teicholz, founder and president of Graphic Systems; Jack Dangermond, founder and president of ESRI; Scott Morehouse, director of software development at ESRI; as well as the author.
Capable of acquiring large volumes of data through sensors deployed in air, land, and sea, and making this information readily available in a continuous time frame, the science of geographical information system (GIS) is rapidly evolving. This popular information system is emerging as a platform for scientific visualization, simulation, and computation of spatio-temporal data. New computing techniques are being researched and implemented to match the increasing capability of modern-day computing platforms and easy availability of spatio-temporal data. This has led to the need for the design, analysis, development, and optimization of new algorithms for extracting spatio-temporal patterns from a large volume of spatial data. Computing in Geographic Information Systems considers the computational aspects, and helps students understand the mathematical principles of GIS. It provides a deeper understanding of the algorithms and mathematical methods inherent in the process of designing and developing GIS functions. It examines the associated scientific computations along with the applications of computational geometry, differential geometry, and affine geometry in processing spatial data. It also covers the mathematical aspects of geodesy, cartography, map projection, spatial interpolation, spatial statistics, and coordinate transformation. The book discusses the principles of bathymetry and generation of electronic navigation charts. The book consists of 12 chapters. Chapters one through four delve into the modeling and preprocessing of spatial data and prepares the spatial data as input to the GIS system. Chapters five through eight describe the various techniques of computing the spatial data using different geometric and statically techniques. Chapters nine through eleven define the technique for image registration computation and measurements of spatial objects and phenomenon. Examines cartographic modeling and map projection Covers the mathematical aspects of different map projections Explores some of the spatial analysis techniques and applications of GIS Introduces the bathymetric principles and systems generated using bathymetric charts Explains concepts of differential geometry, affine geometry, and computational geometry Discusses popular analysis and measurement methods used in GIS This text outlines the key concepts encompassing GIS and spatio-temporal information, and is intended for students, researchers, and professionals engaged in analysis, visualization, and estimation of spatio-temporal events.