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Geospatial data analysis in R

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September 20, 2024

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September 23, 2024

Introduction to geospatial data

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Shapefiles

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  • Shapefiles are made up of at least four files: +
  • Shapefiles are made up of at least three files:
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    Let’s look at Northern Malawi

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    Let’s look at Northern Malawi

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    Types of features

    Let’s start with polygons

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    Imagine a rectangle, on a coordinate plane

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    All features are made of vertices

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    All features are made of vertices

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    One more example of polygons

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    One more example of polygons

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    One more example of polygons

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    Lines

    Lines example - “Primary” roads in India (2014)

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    One road




    Length of this line feature: 1619.93 (m)


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    Points

    Reading shapefiles in R

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    My go-to theme

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    My go-to theme

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    Other changes you can make

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    Other changes you can make

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    Give it a try with TAs (admin3) in Malawi (mw3.shp)

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    One more example - map from earlier

    What if we want to plot mw2, mw3, and mw4?

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    What if we want to plot mw2, mw3, and mw4?

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    The basic problem

    Preserve shape, give up area

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    Projections

    Meractor projection: preserves angular relationships

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    Azimuthal Equidistant projection

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    Mollweide Equal Area Cylindrical projection

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    Three families of projections

    Coordinate reference systems

    A common CRS: Universal Transverse Mercator (UTM)

    A common CRS: Universal Transverse Mercator (UTM)

    Projections with sf

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    What is the appropriate zone for Malawi?

    They look quite similar!

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    They look quite similar! Different coordinates

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    They look quite similar! Different coordinates

    Malawi is small. What about something larger?

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    Now it’s your turn!

    More practice

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    Returning to the files

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