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Statistics & Spatial Modeling

Paisaje patagónico

By applying advanced statistics and spatial modeling, we analyze ecological and hydroclimatic patterns to enhance decision-making and support scientific research and conservation efforts.

Paisaje Patagónico

Service Categories

SIG

Advanced Statistics

Correlation matrices
Linear regression / GLM / GAM
Mixed-effects models
Time series analysis
Clustering and segmentation
PCA & dimensionality reduction
Geostatistics
Monte Carlo simulations

Estadística

Hydrology & Climate

Watershed delineation
Spatial data on precipitation and air temperature
Potential and actual evapotranspiration
Drought indices (SPI, SPEI)
Bias correction of General Circulation Models (GCMs)
Analysis of future climate change impacts
Downscaling of hydroclimatic variables to increase spatial resolution

Modelos Espaciales

Predictive Spatial Modeling

Soil organic carbon stock
Agricultural crop yield
Land cover and land use change detection
Drought-prone areas
Species distribution models (SDMs)
Flood risk
Soil erosion risk
Wildfire risk
Spatial distribution of soil nutrients (N, P, K and more)

View Examples of Spatial Models

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Cordillera y bosque austral

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