Jakub Nowosad
Jakub Nowosad
Institute of Geoecology and Geoinformation, Adam Mickiewicz University
Verified email at - Homepage
Cited by
Cited by
landscapemetrics: an open‐source R tool to calculate landscape metrics
MHK Hesselbarth, M Sciaini, KA With, K Wiegand, J Nowosad
Ecography 42 (10), 1648-1657, 2019
Geocomputation with R
R Lovelace, J Nowosad, J Muenchow
Chapman and Hall/CRC Press, 2019
Information theory as a consistent framework for quantification and classification of landscape patterns
J Nowosad, TF Stepinski
Landscape Ecology 34 (9), 2091-2101, 2019
Airborne Alternaria and Cladosporium fungal spores in Europe: Forecasting possibilities and relationships with meteorological parameters
A Grinn-Gofroń, J Nowosad, B Bosiacka, I Camacho, C Pashley, ...
Science of the Total Environment 653, 938-946, 2019
Machine learning modeling of plant phenology based on coupling satellite and gridded meteorological dataset
B Czernecki, J Nowosad, K Jabłońska
International Journal of Biometeorology 62, 1297, 2018
Global assessment and mapping of changes in mesoscale landscapes: 1992–2015
J Nowosad, TF Stepinski, P Netzel
International Journal of Applied Earth Observation and Geoinformation 78 …, 2019
Spatiotemporal models for predicting high pollen concentration level of Corylus, Alnus, and Betula
J Nowosad
International Journal of Biometeorology 60 (6), 843–855, 2016
Spatial association between regionalizations using the information-theoretical V-measure
J Nowosad, TF Stepinski
International Journal of Geographical Information Science 32 (12), 2386-2401, 2018
Climate: An R Package to Access Free In-Situ Meteorological and Hydrological Datasets for Environmental Assessment
B Czernecki, A Głogowski, J Nowosad
Sustainability 12 (1), 394, 2020
Evaluating the portability of satellite derived chlorophyll-a algorithms for temperate inland lakes using airborne hyperspectral imagery and dense surface …
R Johansen, R Beck, J Nowosad, C Nietch, M Xu, S Shu, B Yang, H Liu, ...
Harmful Algae 76, 35-46, 2018
Temporal and spatiotemporal autocorrelation of daily concentrations of Alnus, Betula, and Corylus pollen in Poland
J Nowosad, A Stach, I Kasprzyk, M Latałowa, M Puc, D Myszkowska, ...
Aerobiologia 31 (2), 159-177, 2015
Statistical techniques for modeling of Corylus, Alnus, and Betula pollen concentration in the air
J Nowosad, A Stach, I Kasprzyk, K Chłopek, K D±browska-Zapart, ...
Aerobiologia 34 (3), 301–313, 2018
Global inventory of landscape patterns and latent variables of landscape spatial configuration
J Nowosad, TF Stepinski
Ecological Indicators 89, 159-167, 2018
pollen: Analysis of aerobiological data
J Nowosad
R Package Version 0.71, 2019
spData: Datasets for Spatial Analysis
R Bivand, J Nowosad, R Lovelace
R package version 0.2 7, 2018
Stochastic, Empirically Informed Model of Landscape Dynamics and Its Application to Deforestation Scenarios
J Nowosad, TF Stepinski
Geophysical Research Letters 46 (23), 13845-13852, 2019
Rcartocolor:’CARTOColors’ palettes
J Nowosad
belg: A Tool for Calculating Boltzmann Entropy of Landscape Gradients
J Nowosad, P Gao
Entropy 22 (9), 937, 2020
Forecasting model of Corylus, Alnus, and Betula pollen concentration levels using spatiotemporal correlation properties of pollen count
J Nowosad, A Stach, I Kasprzyk, E Weryszko-Chmielewska, ...
Aerobiologia 32 (3), 453-468, 2016
Pattern-based identification and mapping of landscape types using multi-thematic data
J Nowosad, TF Stepinski
International Journal of Geographical Information Science 35 (8), 1634-1649, 2021
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