Introduction | Spatio-temporal dependence modelling and kriging | Application and illustration | Results and discussion | Conclusions | Acknowledgements | Appendix

Preamble: the starsdata package | Reading chunks, change resolution, select bands | Reading a particular chunk | Reading at a different resolution | Stars proxy objects | Methods for stars proxy objects | Select attributes | Select an area | Lazy evaluation, changing evaluation order | Fetching the data | Plotting with changed evaluation order | Multi-resolution proxy objects

slice | filter | pull | mutate | select | geom_stars

Rasterizing an sf vector object | Vectorizing a raster object to an sf object | Polygonizing | Exporting to points | Exporting to polygons | Switching between vector and raster in stars objects | Reprojecting a raster | Warping a raster

COMMENT LEGEND | Creating objects | Changing spatial extent and/or resolution of objects | Cell based computation | Spatial contextual computation | Model predictions | Data type conversion | Summarizing | Accessing values of objects | Plotting | Getting and setting dimensions | Computing row, column, cell numbers and coordinates

Training and prediction with stars objects | stars objects as data.frames | Predict for stars objects | models fitted for every pixel | Linear regression on pixel time series | Unsupervised learners | Principal components | K-means clustering | Supervised learners | Random Forest land use classification | Parallel processing

Abstract | Introduction | SI | Related work in R | UNIDATA's udunits library | Udunits versus the Unified Code for Units of Measure (UCUM) | Handling data with units in R: the units package | Discussion and conclusions | Acknowledgements | References

Setting units, unit conversion | Unit conversion | Basic manipulations | Arithmetic operations | Unit simplification | Mathematical functions | Summary functions | Printing | Subsetting | Concatenation | Conversion to/from difftime | units in matrix objects | units objects in data.frames | Formatting | Plotting

Reading and writing through GDAL | Using st_read | Using st_write | Guessing a driver for output | Dataset and layer reading or creation options | Reading and writing directly to and from spatial databases | Conversion to other formats: WKT, WKB, sp | Conversion to and from well-known text | Conversion to and from well-known binary | Conversion to and from sp

Type transformations | For single geometries | For collections of geometry (sfc) and simple feature collections (sf) | Affine transformations | Coordinate reference systems conversion and transformation | Getting and setting coordinate reference systems of sf objects | Coordinate reference system transformations | Geometrical operations | Unary operations | Binary operations: distance and relate | Binary logical operations: | Operations returning a geometry

Subsetting feature sets | Aggregating or summarizing feature sets | Joining two feature sets based on attributes | Joining two feature sets based on geometries

Plot methods for sf and sfc objects | Geometry only: sfc | Geometry with attributes: sf | Color key place and size | Class intervals | How does sf project geographic coordinates? | Graticules | Plotting sf objects with other packages | grid: st_as_grob | ggplot2 | mapview | tmap

What is a feature? | Dimensions | Simple feature geometry types | Coordinate reference system | How simple features in R are organized | sf: objects with simple features | sfc: simple feature geometry list-column | Mixed geometry types | sfg: simple feature geometry | Well-known text, well-known binary, precision | WKT and WKB | Precision | Reading and writing | Driver-specific options | Create, read, update and delete | Connection to spatial databases | Coordinate reference systems and transformations | Conversion, including to and from sp | Geometrical operations | Non-simple and non-valid geometries | Units | How attributes relate to geometries

Introduction | Setup and definition | Classes and methods | Simulation and model fitting | Exploratory data analysis | Summary and discussion

Introduction | Variography | Spatio-temporal prediction

Introduction | Spatial data classes | Manipulating spatial objects | Spatial points | Grids | Lines | Polygons | Importing and exporting data

Introduction | Projected and geographic coordinates | Fundamental differences | Polygons on $S^2$ divide the sphere in two parts | Semi-open polygon boundaries | Bounding cap, bounding rectangle | Switching between S2 and GEOS | Measures | Area | Length | Distances | Predicates | Transformations | Buffers | st_buffer or st_is_within_distance? | References

Reading a satellite image | Switching attributes to dimensions and back | Subsetting | Overviews | Reading a raster time series: NetCDF | Reading datasets from multiple files | Writing stars objects to disk | Cropping a raster's extent | Vector data cube example | OD: space x space x travel mode x time x time | Extracting at point locations, aggregating over polygons

Stars objects | Grid type | Regular grids | Raster attributes, rotated and sheared grids | Rectilinear grids | Curvilinear grids

Plotting maps with sp | Loading data and packages | Using base plot | Graticules | Other spatial objects in base plot | using lattice plot (spplot) | maps using ggplot2 | Interactive maps: leaflet, mapview | SessionInfo

Programming with classes and methods | Animal track data in package trip | Multi-point data: SpatialMultiPoints | Spatio-temporal grids | Analysing spatial Monte Carlo simulations

What is this EPSG code all about? | Why should we use OGC:CRS84 instead of EPSG:4326? | How does sf deal with secondary geometry columns? | Does st_simplify preserve topology? | Why do my dplyr verbs not work for sf objects?

sp evolution status | Use of sp affected functions and methods | Possible difficulties | Why not terra?

Introduction

Introduction | How spatio-temporal data are recorded in tables | Space-time layouts | Classes and methods for spatio-temporal data | Graphs of spatio-temporal data | Spatial footprint or support, time intervals, moving objects | Worked examples | Further material | Discussion

Introduction | R geostatistics packages | Spatial data frames | Spatial data on a regular grid | Variograms | Kriging | Conditional simulation | Directional variograms | Variogram maps | Cross variography

Overview | Theory and Algorithm | Basic Hexagon Binning Functions | Extended Hexagon Functions | Example: cDNA Chip Normalization | Manipulating Hexbins

Introduction | Setting up a database | A proxy class | Selection based on time period and/or region | Closing the database connection | Limitations and alternatives

Introduction | Overlay with method over | Spatio-temporal overlay with method over | Aggregating spatio-temporal data

Introduction | Verification with plain R code | Verification with GSLIB

1 Introduction | 2 Interpretation of objects | 3 Floating point and intervals over R | 4 Notes on implementation | 5 Session information

Introduction | Selection over space | Selection over time | Selection over space and time