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Introduction to GIS and Remote Sensing with R - 485 MB

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  • Saadedin
    Thread Author
    Administrator
    • Sep 2018 
    • 35990 
    • 18,818 
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    Introduction to GIS and Remote Sensing with R

    Manage large amounts of geospatial data with R applied to remote sensing and GIS




    What you'll learn
    Spatial analysis
    Vector processing
    Raster processing
    Some tidyverse functions

    Requirements
    Basic knowledge of GIS and Remote Sensing.
    Basic knowledge of R

    Description
    Hello! I invite you to enroll in my course on GIS and remote sensing using R software, which you will be able to combine seamlessly with QGIS, ARCGIS, Google Earth Engine, among others.

    Give a twist to your professional career with a new skill that will put you a step above the rest, because programming applied to GIS and remote sensing is here to stay!

    R is a program widely used around the world and makes it easy to analyze satellite data. Forget about spending hours processing an image or vector file. Increase your productivity and don't fill your computer with unnecessary memory.

    Forget about having to perform the same procedure over and over again in a slow and tiring way. Create your own programming codes, giving them your special touch, because programming is an art and merged with GIS and remote sensing creates a masterpiece.

    Welcome to the world of reproducible research, where through programming codes you will be able to replicate specific tasks and functions as many times as you want and in an easy way.

    Be part of the worldwide R community, where everyone helps each other in order to learn as much as possible.

    What are you waiting for! It's up to you to join the world of Big Data in remote sensing!

    Sign up for the course and I promise you won't regret it!

    See you in class!

    Andrés.

    Who this course is for
    Anyone interested in learning how to use R for GIS and remote sensing studies.


    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
    Genre: eLearning | Language: English + srt | Duration: 31 lectures (45m) | Size: 485.1 MB

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