QGIS is a crossing point of the free and open source geospatial world. While there are a great many tools in QGIS, it is not one massive application that does everything, and it was never really designed to be that from the beginning. It is rather a visual interface to much of the open source geospatial world. You can load data from proprietary and open formats into spatial databases of various flavors and then analyze the data with well-known analytical backends before creating a printed or web-based map to display and interact with your results. What’s QGIS’s role in all this? It’s the place where you check your data along the way, build and queue the analysis, visualize the results, and develop cartographic end products. This learning path will teach you all that and more, in a hands-on learn-by-doing manner. Become an expert in QGIS with this useful companion. <...>

Geography has always been important to humans. Stone-age hunters anticipated the location of their quarry, early explorers lived or died by their knowledge of geography, and current societies work and play based on their understanding of who belongs where. Applied geography, in the form of maps and spatial information, has served discovery, planning, cooperation, and conflict for at least the past 3000 years (Figure 1-1). Maps are among the most beautiful and useful documents of human civilization.

The natural resources on the earth seem to be randomly distributed but their variations over space and time are not all random. They exhibit a spatial correlation. This spatial correlation can be captured by geostatistics. Geostatistics deals with the analysis and modelling of geo-referenced data. The point observations are analyzed and interpolated to create spatial maps. For geostatistical interpolation, first the spatial correlation structures of the parameter of interest are quantified and then spatial interpolation is done using the quantified spatial correlation and optimal predictions at unobserved locations to create a map.

Вы приступаете к изучению расширения к ArcGIS компании ESRI®  модуля Geostatistical Analyst, предназначенного для усовершенствованного моделирова ния поверхности с использованием детерминистских и геостатистических методов. Модуль Geostatistical Analyst расширяет возможности ArcMap за счет появления дополнительных инструментов, предназначенных для исследовательского анализа пространственных данных, а также Мастера операций геостатистики, который поможет вам в процессе построения статистически достоверной поверхности. Поверхности, создаваемые с помощью модуля Geostatistical Analyst, могут быть впоследствии использованы в моделях ГИС и для визуализации, в том числе с использованием таких расширений ArcGIS, как ArcGIS Spatial Analyst и 3D Analyst. <...>

This book is an introduction to critical cartography and GIS. As such, it is neither a textbook nor a software manual. My purpose is to discuss various aspects of mapping theory and practice, from critical social theory to some of the most interesting new mapping practices such as map hacking and the geospatial web. It is an appreciation of a more critical cartography and GIS.

If those of us in the geographic information system (GIS) realm have disregarded design in the past, we are now coming to realize that the elegant display of geographic data is as important as the data itself. Some resistance may be introduced when we talk about making a map look pretty; and rightly so. But elegance in mapping goes well beyond making a map look attractive. In this text, I explain exactly how to convey information to serve up the facts, hold the viewer’s attention, avoid potential confusion, and provide all the necessary metadata. Even with no prior experience in cartography, you can learn how to create maps with these qualities by studying these pages. Let’s begin. <...>

GIS Applications in Agriculture, Volume Four: Conservation Planning, edited by Tom Mueller and Gretchen F. Sassenrath, is the fourth volume in the book series GIS Applications in Agriculture, which is designed to enhance the application and use of geographic information systems (GISs) in agriculture by providing detailed GIS applications that are useful to scientists, educators, students, consultants, and farmers. The first volume, GIS Applications in Agriculture, edited by Francis J. Pierce and David Clay, was published by CRC Press in 2007. The second volume, GIS Applications in Agriculture: Nutrient Management for Improved Energy Efficiency, edited by David Clay and John Shanahan, and the third volume, GIS Applications in Agriculture: Invasive Species, edited by Sharon Clay, were published by CRC Press in 2011. While the newest book in this series, the idea of a book on conservation planning using GIS was identified in 2007 when the book series began. Intuitively, conservation planning through GIS applications should appeal to all conservationists who clearly understand that a key to achieving soil and water conservation is rooted in an understanding of the spatial and temporal variation in both soil and water resources and natural and human-induced forces that affect the quality and quantity of those resources. <...>

GIS Tutorial 1: Basic Workbook is the direct result of the authors' experiences teaching GIS to high school students in a summer program at Carnegie Mellon University, undergraduate and graduate students in several departments and disciplines at Carnegie Mellon University, as well as working professionals. GIS Tutorial 1 is a hands-on workbook with step-by-step exercises that take the reader from the basics of using ArcGlS Desktop interfaces through performing advanced spatial analyses. <...>

We are pleased to offer this fourth edition of Thematic Cartography and Geovisualization published by CRC Press. We deem a fourth edition particularly appropriate given the extensive developments that have taken place in cartography and GIScience since the third edition was first published in 2009. One development is the continued evolution of the Internet and the associated World Wide Web, which is commonly referred to as Web 2.0. One characteristic of Web 2.0 is the ability to harness the collective intelligence of Web users. In the case of geography, we often refer to this collective intelligence as “volunteered geographic information” or VGI;