Jannes Muenchow
0000-0001-7834-4717
20 papers found
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Monitoring Forest Health Using Hyperspectral Imagery: Does Feature Selection Improve the Performance of Machine-Learning Techniques?
Monitoring and predictive mapping of floristic biodiversity along a climatic gradient in ENSO's terrestrial core region, NW Peru
Mapping tree species vulnerability to multiple threats as a guide to restoration and conservation of tropical dry forests
Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data
Reviewing qualitative GIS research—Toward a wider usage of open‐source GIS and reproducible research practices
Hyperparameter tuning and performance assessment of statistical and machine-learning models using spatial data.
Geocomputation with R
Mating type ratios and pathogenicity in Diplodia shoot blight fungi populations: Comparative analysis
Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data
Qualitative Forschung und Geographische Informationssysteme
A review of ecological gradient research in the Tropics: identifying research gaps, future directions, and conservation priorities
RQGIS: Integrating R with QGIS for Statistical Geocomputing
Landslide susceptibility near highways is increased by 1 order of magnitude in the Andes of southern Ecuador, Loja province
An ecological paradox: high species diversity and low position of the upper forest line in the A ndean D epression
Landslide susceptibility near highways is increased by one order of magnitude in the Andes of southern Ecuador, Loja province
Woody vegetation of a Peruvian tropical dry forest along a climatic gradient depends more on soil than annual precipitation
Predictive mapping of species richness and plant species' distributions of a peruvian fog oasis along an altitudinal gradient
Coupling ordination techniques and GAM to spatially predict vegetation assemblages along a climatic gradient in an ENSO-affected region of extremely high climate variability
Soil texture and altitude, respectively, largely determine the floristic gradient of the most diverse fog oasis in the Peruvian desert
Geomorphic process rates of landslides along a humidity gradient in the tropical Andes
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