Spatial Thinkikng

Immersive audio, sometimes referred to as spatial audio, aims to create a 3D sound environment that envelops listeners from every direction—in front, beside, behind, above, and below. Techniques like object-based audio, binaural audio, and ambisonics are commonly used to create this immersive effect. Unlike traditional surround sound, spatial audio allows for more dynamic and precise placement of sound sources. Headphones can also play back immersive audio mixes, so the experience isn’t limited to surround sound systems.

The spatial audio plugin for music producers, video/podcast producers & sound designers.

This book provides a cross-section of cutting-edge research areas being pursued by researchers in spatial data handling and geographic information science (GIS). It presents selected papers on the advancement of spatial data handling and GIS in digital cartography, geospatial data integration, geospatial database and data infrastructures, geospatial data modeling, GIS for sustainable development, the interoperability of heterogeneous spatial data systems, location-based services, spatial knowledge discovery and data mining, spatial decision support systems, spatial data structures and algorithms, spatial statistics, spatial data quality and uncertainty, the visualization of spatial data, and web and wireless applications in GIS.

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.

This book documents and analyses spatial planning in Ghana, providing a comprehensive and critical discussion of the evolving institutional and legal arrangements that have shaped and defined Ghana’s spatial planning system for more than seven decades; the contemporary policy instruments and mechanisms for articulating and implementing policies and proposals at multiple scales; and the formally established procedures for development management.

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.

This volume is a critical book that provides different methodologies that combine the potential data (including Big Data) analysis with GIS applications. It gives readers a comprehensive overview of the current state-of-the-art methods of spatial analysis, focusing both on the new philosophical and theoretical foundations for spatial analysis and on a flexible framework for analysis in the real world, for problems such as complexity and uncertainty.

Learn how to process and visualize geospatial data and perform spatial analysis using Python.