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The study of medieval and early modern geographic space, literary cartography, and spatial thinking at a time of rapid digitization in the Humanities offers new ways to investigate spatial knowledge and world perceptions in pre-modern societies. Digitization of cultural heritage collections, open source databases, and interactive resources utilizing a rich variety of source materials-place names, early modern cadastral maps, medieval literature and art, Viking Age and medieval runic inscriptions-provides opportunities to re-think traditional lines of research on spatiality and worldviews, encourage innovation in methodology, and engage critically with digital outcomes. In this book, Nordic scholars of philology, onomastics, history, geography, literary studies, and digital humanities examine multiple aspects of ten large- and small-scale digital spatial infrastructures from the early stages of development to the practical applications of digital tools for studying spatial thinking and knowledge in pre-modern sources and societies.
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The study of medieval and early modern geographic space, literary cartography, and spatial thinking at a time of rapid digitization in the Humanities offers new ways to investigate spatial knowledge and world perceptions in pre-modern societies. Digitization of cultural heritage collections, open source databases, and interactive resources utilizing a rich variety of source materials-place names, early modern cadastral maps, medieval literature and art, Viking Age and medieval runic inscriptions-provides opportunities to re-think traditional lines of research on spatiality and worldviews, encourage innovation in methodology, and engage critically with digital outcomes. In this book, Nordic scholars of philology, onomastics, history, geography, literary studies, and digital humanities examine multiple aspects of ten large- and small-scale digital spatial infrastructures from the early stages of development to the practical applications of digital tools for studying spatial thinking and knowledge in pre-modern sources and societies.
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The study of medieval and early modern geographic space, literary cartography, and spatial thinking at a time of rapid digitization in the Humanities offers new ways to investigate spatial knowledge and world perceptions in pre-modern societies. Digitization of cultural heritage collections, open source databases, and interactive resources utilizing a rich variety of source materials-place names, early modern cadastral maps, medieval literature and art, Viking Age and medieval runic inscriptions-provides opportunities to re-think traditional lines of research on spatiality and worldviews, encourage innovation in methodology, and engage critically with digital outcomes. In this book, Nordic scholars of philology, onomastics, history, geography, literary studies, and digital humanities examine multiple aspects of ten large- and small-scale digital spatial infrastructures from the early stages of development to the practical applications of digital tools for studying spatial thinking and knowledge in pre-modern sources and societies.
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Geodatabases --- Spatial data infrastructures --- Census --- Databases
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Geografie --- Semantic Web. --- Spatial data infrastructures. --- Geografische Informatie Systemen --- Data.
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Data warehousing --- Multidimensional databases --- Spatial data infrastructures --- Temporal databases
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Create and manage spatial data with PostGIS About This Book Import and export geographic data from the PostGIS database using the available tools Maintain, optimize, and fine-tune spatial data for long-term viability Utilize the parallel support functionality that was introduced in PostgreSQL 9.6 Who This Book Is For This book is for developers who need some quick solutions for PostGIS. Prior knowledge of PostgreSQL and spatial concepts would be an added advantage. What You Will Learn Import and export geographic data from the PostGIS database using the available tools Structure spatial data using the functionality provided by a combination of PostgreSQL and PostGIS Work with a set of PostGIS functions to perform basic and advanced vector analyses Connect PostGIS with Python Learn to use programming frameworks around PostGIS Maintain, optimize, and fine-tune spatial data for long-term viability Explore the 3D capabilities of PostGIS, including LiDAR point clouds and point clouds derived from Structure from Motion (SfM) techniques Distribute 3D models through the Web using the X3D standard Use PostGIS to develop powerful GIS web applications using Open Geospatial Consortium web standards Master PostGIS Raster In Detail PostGIS is a spatial database that integrates the advanced storage and analysis of vector and raster data, and is remarkably flexible and powerful. PostGIS provides support for geographic objects to the PostgreSQL object-relational database and is currently the most popular open source spatial databases. If you want to explore the complete range of PostGIS techniques and expose related extensions, then this book is for you. This book is a comprehensive guide to PostGIS tools and concepts which are required to manage, manipulate, and analyze spatial data in PostGIS. It covers key spatial data manipulation tasks, explaining not only how each task is performed, but also why. It provides practical guidance allowing you to safely take advantage of the advanced technology in PostGIS in order to simplify your spatial database administration tasks. Furthermore, you will learn to take advantage of basic and advanced vector, raster, and routing approaches along with the concepts of data maintenance, optimization, and performance, and will help you to integrate these into a large ecosystem of desktop and web tools. By the end, you will be armed with all the tools and instructions you need to both manage the spatial database system and make ...
Geographic information systems. --- Database management. --- Spatial data infrastructures. --- PostGIS.
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Science is increasingly driven by data, and spatial data underpin the science directions laid out in the 2007 U.S. Geological Survey (USGS) Science Strategy. A robust framework of spatial data, metadata, tools, and a user community that is interactively connected to use spatial data in an efficient and flexible way--known as a spatial data infrastructure (SDI) must be available for scientists and managers to find, use, and share spatial data both within and beyond the USGS. Over the last decade, the USGS has conducted breakthrough research that has overcome some of the challenges associated with implementing a large SDI. Advancing Strategic Science: A Spatial Data Infrastructure Roadmap for the U.S. Geological Survey is intended to ground those efforts by providing a practical roadmap to full implementation of an SDI to enable the USGS to conduct strategic science.
Spatial data infrastructures --- Geological Survey (U.S.) --- Planning.
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"Traditional methods for handling spatial data are encumbered by the assumption of separate origins for horizontal and vertical measurements, but modern measurement systems operate in a 3-D spatial environment. The 3-D Global Spatial Data Model: Principles and Applications, Second Edition maintains a new model for handling digital spatial data, the global spatial data model or GSDM. The GSDM preserves the integrity of three-dimensional spatial data while also providing additional benefits such as simpler equations, worldwide standardization, and the ability to track spatial data accuracy with greater specificity and convenience. This second edition expands to new topics that satisfy a growing need in the GIS, professional surveyor, machine control, and Big Data communities while continuing to embrace the earth center fixed coordinate system as the fundamental point of origin of one, two, and three-dimensional data sets. Ideal for both beginner and advanced levels, this book also provides guidance and insight on how to link to the data collected and stored in legacy systems."--Provided by publisher.
Spatial data infrastructures --- Spatial systems. --- Three-dimensional imaging. --- Mathematics.
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