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khufkens committed Apr 24, 2024
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# Preface {.unnumbered}

In this free book I will focus on a set of examples which are rather limited in spatial scope, using just a handfull of pixels. In contrast to what the cloud computing revolution promised, many ideas start out from site or localized studies. The focus of this book on using just a handfull of pixels is therefore deliberate. This allows data to be as large as required, but as small as possible.
In this free book I will introduce geospatial processing in R, covering remote sensing and spatially explicit ecological modelling. I will focus on a set of examples which are rather limited in spatial scope, using just a handfull of pixels. In contrast to what the cloud computing revolution promised, many ideas start out from site or localized studies. The focus of this book on using just a handful of pixels is therefore deliberate. This allows data to be as large as required, but as small as possible.

Not only does this allow you to experiment with geo-spatial data on limited compute infrastructure, it also shows you that true science can be done with relatively modest means. You will learn to do big science with small data.

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