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Surveying with Geomatics and R
This book explains basic concepts of surveying science and techniques with geomatics using R software and R packages. It engages students in learning about surveying through real field examples and using differing degrees of complexity while exploring surveying problems based on field observations and advanced geospatial technology. It includes a wide range of case studies as hands-on and self-paced tutorials along with detailed computer programming routines that are linked to the theories and applications explained in each chapter. This innovative textbook also teaches how to explore other possibilities of using geomatics in geocomputation, remote sensing, geography and cartography courses focused on surveying tasks.
Features include:
Provides modern surveying practices with free software algorithm and R toolset for active learning
Includes case studies from different geographical areas using arbitrary and international cartographic reference systems
Enables and demonstrates the integration of traditional geomatics with modern geospatial big data technologies
Explains data standards, equipment used, possible analyses and the importance of error evaluation for scientific surveying
Discusses different scales of landscapes and brings together the experiences of leading experts in the field
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Surveying with Geomatics and R
This book explains basic concepts of surveying science and techniques with geomatics using R software and R packages. It engages students in learning about surveying through real field examples and using differing degrees of complexity while exploring surveying problems based on field observations and advanced geospatial technology. It includes a wide range of case studies as hands-on and self-paced tutorials along with detailed computer programming routines that are linked to the theories and applications explained in each chapter. This innovative textbook also teaches how to explore other possibilities of using geomatics in geocomputation, remote sensing, geography and cartography courses focused on surveying tasks.
Features include:
Provides modern surveying practices with free software algorithm and R toolset for active learning
Includes case studies from different geographical areas using arbitrary and international cartographic reference systems
Enables and demonstrates the integration of traditional geomatics with modern geospatial big data technologies
Explains data standards, equipment used, possible analyses and the importance of error evaluation for scientific surveying
Discusses different scales of landscapes and brings together the experiences of leading experts in the field