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Lindsey loves mapping! Follow along as she collects information about the world around her to make a map of her favorite park. The first in a STEAM career-themed picture book series, Lindsey the GIS Professional describes what geographic information systems (GIS) means, what information is needed to make a map, and how to collect that information. Then Lindsey shows how to take all that information to create a map of her favorite park. Perfect for encouraging spatial thinking! For grades 1-5. Includes a glossary.
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.
Sam loves to design things! She plans to be a landscape architect. Follow along as she designs parks, gardens, and more to improve her community. Part of a STEAM career-themed picture book series.
Follow along as Will learns about how everything that is built has an engineer and how he can be one, too! Part of a STEAM career-themed picture book series.
In a rapidly changing world, there is an ever-increasing need to monitor the Earth’s resources and manage it sustainably for future generations. Earth observation from satellites is critical to provide information required for informed and timely decision making in this regard. Satellite-based earth observation has advanced rapidly over the last 50 years, and there is a plethora of satellite sensors imaging the Earth at finer spatial and spectral resolutions as well as high temporal resolutions. The amount of data available for any single location on the Earth is now at the petabyte-scale. An ever-increasing capacity and computing power is needed to handle such large datasets. The Google Earth Engine (GEE) is a cloud-based computing platform that was established by Google to support such data processing. This facility allows for the storage, processing and analysis of spatial data using centralized high-power computing resources, allowing scientists, researchers, hobbyists and anyone else interested in such fields to mine this data and understand the changes occurring on the Earth’s surface. This book presents research that applies the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross primary productivity, among others. Datasets used range from coarse spatial resolution data, such as MODIS, to medium resolution datasets (Worldview -2), and the studies cover the entire globe at varying spatial and temporal scales.
Miller presents a workbook that teaches entrepreneurs how to use a wide range of ESRI Business Analyst applications to develop opportunities and serve customers more efficiently.
This guide to GIS explains how geographic information can be made visually understandable to users everywhere, illustrating the technology's wide variety of applications -- from monitoring all rail systems and airplane noise levels to finding the perfect vacation spot or the quickest route to work.
The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences.
Describing how to build balanced map layouts suited to varied mapping goals, this guide focuses on export options that suit different media and can be edited in other applications. The wide range of text characteristics needed for expert map design as well as how to improve map readability with type effects such as character spacing, leading, callouts, shadows, and halos is detailed. Tips are included for using font tools in the Windows operating system, such as creating special characters in map text, as is information on using text characteristics to indicate feature locations, categories, and hierarchies on maps. How cartographic conventions guide placement of labels for point, line, and area features are also explained.