Tutorials
Each tutorial starts with the idea behind a method and the papers that introduced it, then builds the graph that runs it, node by node, and shows how to read what it gives. If you are new to Terraflux, begin with Getting started: it assumes no experience with GIS software.
Getting started
Open and look at maps and vectors, reproject and resample them, save them, and build your first graph.
Building models
Map algebra, stacks, loops, groups, submodels and plugins: the pieces every model is made of.
Habitat patterns
GuidosToolbox's morphological spatial pattern analysis: cores, edges, bridges and corridors.
Fragmentation
How fragmented a habitat is at many scales: density, connectivity, contagion and entropy.
Landscape metrics
FRAGSTATS' and landscapemetrics' metrics per patch, class and landscape, in windows and signatures.
Habitat networks
Habitat as a graph: Conefor's connectivity indices, ProtConn and the importance of each patch.
Circuit connectivity
Circuitscape and Omniscape: movement as electrical current through a landscape of resistance.
Surface metrics
Terrain and continuous surfaces: slope, curvature, roughness, texture, landforms and protected hilltops.
Terrain hydrology
How water moves over a terrain: depressions, flow directions and accumulation, streams, watersheds, HAND, wetness indices and SWAT+.
Grid distances
Least-cost paths, cost distances and random walks across a landscape, as R's gdistance.
Distance and restoration
Distances, ecological intactness and where restoration does most for species.
Change detection
What changed between two maps, how fast and how intensely: transitions, intensity analysis and diffeR.
Neutral landscape models
Landscapes drawn by chance, to test methods and to ask what pattern alone would give.
Biodiversity analysis
Biodiverse's analyses: richness, endemism, phylogenetic diversity and clusters of regions.
Spatial prioritization
Zonation, Marxan, integer linear programming and multi-action planning: where to protect, restore and act.
Species distributions
From GBIF records to a distribution model, its evaluation and its projection to other climates.
Animal movement
GPS tracks from Movebank read, cleaned and measured, resampled into steps and summarised, and turned into the data of step selection functions, as move2 and amt do.
Ecosystem services
InVEST's models: carbon storage, habitat quality, annual and seasonal water yield, sediment and nutrient retention, and crop pollination.
Land change simulation
Dinamica EGO, CLUE-S, PLUS and agents: calibrate, simulate and validate the future of a landscape.
Uncertainty
Monte Carlo and the propagation of uncertainty through a model.
Large data and batches
Rasters larger than memory and the same analysis over hundreds of files.