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Robotics and Application (Fall 2022)

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Introduction to Robotics and Application 2

Introduction to Robotics and Application Lesson
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Definition, Key Components and Functional Subsystem Lesson
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Raster Data Model, Vector Data Model & Attribute Data Model Lesson
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Data Acquisition, Data Capturing techniques and procedures, Data Transformation, Visualization of spatial data, Layers and Projections Lesson
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Map Design, Graphic Variables and Visual hierarchy Lesson
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Spatial analysis: Overlay analysis, Neighborhood function, Networks, Overlay Analysis and Buffering Lesson
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Robotics and Application (Fall 2022)

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by Hamim Pollob - Wednesday, 30 November 2022, 8:28 PM

Number of replies: 0

I learning from this lecture,

Reprojecting vector data
Digitizing and creating your own shapefiles

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