| 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 | 889 | 2019 |
| Geocomputation with R R Lovelace, J Nowosad, J Muenchow Chapman and Hall/CRC Press, 2019 | 225 | 2019 |
| Information theory as a consistent framework for quantification and classification of landscape patterns J Nowosad, TF Stepinski Landscape Ecology 34, 2091-2101, 2019 | 92 | 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 | 79 | 2019 |
| 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 | 69* | 2020 |
| 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 | 64 | 2018 |
| 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 | 59 | 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 | 57 | 2019 |
| spData: Datasets for Spatial Analysis R Bivand, J Nowosad, R Lovelace R package version 0.2 7, 2018 | 52* | 2018 |
| 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 | 43 | 2018 |
| Spatiotemporal models for predicting high pollen concentration level of Corylus, Alnus, and Betula J Nowosad International Journal of Biometeorology 60 (6), 843–855, 2016 | 39 | 2016 |
| CRAN Task View: Analysis of Spatial Data R Bivand, J Nowosad https://CRAN.R-project.org/view=Spatial, 2022 | 37* | 2022 |
| Landscapemetrics: Landscape metrics for categorical map patterns MHK Hesselbarth, M Sciaini, J Nowosad, S Hanss R package version 1, 2019 | 34* | 2019 |
| Rcartocolor:’CARTOColors’ palettes J Nowosad R package version 2 (0), 2019 | 34* | 2019 |
| pollen: Analysis of aerobiological data J Nowosad R Package Version 0.71, 2019 | 29 | 2019 |
| Estimation and mapping of surface soil properties in the Caucasus Mountains, Azerbaijan using high-resolution remote sensing data E Mammadov, J Nowosad, C Glaesser Geoderma Regional 26, e00411, 2021 | 26 | 2021 |
| Motif: an open-source R tool for pattern-based spatial analysis J Nowosad Landscape Ecology 36, 29-43, 2021 | 25 | 2021 |
| Statistical techniques for modeling of Corylus, Alnus, and Betula pollen concentration in the air J Nowosad, A Stach, I Kasprzyk, K Chłopek, K Dąbrowska-Zapart, ... Aerobiologia 34 (3), 301–313, 2018 | 23 | 2018 |
| 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 | 22 | 2021 |
| Global inventory of landscape patterns and latent variables of landscape spatial configuration J Nowosad, TF Stepinski Ecological Indicators 89, 159-167, 2018 | 22 | 2018 |
Tomasz StepinskiProfessor of Space Exploration, University of CincinnatiDirección de correo verificada de uc.edu
