Publications

Google Scholar

Research Gate

Articles

2025

Hesselbarth, M.H.K., Nowosad, J., de Flamingh, A. et al. (2025). Computational Methods in Landscape Ecology. Curr Landscape Ecol Rep 10, 2. https://doi.org/10.1007/s40823-024-00104-6
Online

2024

Rocchini, D., Chieffallo, L., Thouverai, E., D’Introno, R., Dagostin, F., Donini, E., Foody, G., Garnier, S., Mazzochini, G. G., Moudry, V., Rudis, B., Simova, P., Torresani, M., & Nowosad, J. (2024). Under the mantra: ‘Make use of colorblind friendly graphs’. Environmetrics, e2877. https://doi.org/10.1002/env.2877
Online

Tarazona, Y., Benitez-Paez, F., Nowosad, J., Drenkhan, F., & Timaná, M. E. (2024). scikit-eo: A Python package for Remote Sensing Data Analysis. Journal of Open Source Software 9, https://doi.org/10.21105/joss.06692
Online

Nowosad, J. (2024). Comparing spatial patterns in raster data using R. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 48, https://doi.org/10.5194/isprs-archives-XLVIII-4-W12-2024-127-2024
Online

Szyniszewska, A.M., Bieszczak, H., Kozyra, K., Papadopoulos, N.T., De Meyer, M., Nowosad, J., Ota, N., Kriticos, D.J. (2024). Evidence that recent climatic changes have expanded the potential geographical range of the Mediterranean fruit fly. Sci Rep 14, https://doi.org/10.1038/s41598-024-52861-3
Online

2023

Stepinski, T. F., Nowosad, J. (2023). The kinetic Ising model encapsulates essential dynamics of land pattern change. Royal Society Open Science, https://doi.org/10.1098/rsos.231005
Online Software

Woszczyk, M., Stach, A., Nowosad, J., Zawiska, I., Bigus, K., & Rzodkiewicz, M. (2023). Empirical Formula to Calculate Ionic Strength of Limnetic and Oligohaline Water on the Basis of Electric Conductivity: Implications for Limnological Monitoring. Water, https://doi.org/10.3390/w15203632
Online

Herodowicz‐Mleczak, K., Piekarczyk, J., Ratajkiewicz, H., Nowosad, J., Śledź, S., Kaźmierowski, C., Królewicz, S., & Kierzek, R. (2023) Estimation of Soil Surface Roughness Parameters Under Simulated Rainfall Using Spectral Reflectance in Optical Domain. Earth and Space Science. American Geophysical Union (AGU), https://doi.org/10.1029/2022ea002642
Online

Rocchini, D., Tordoni, E., Marchetto, E., Marcantonio, M., Barbosa, A. M., Bazzichetto, M., Beierkuhnlein, C., Castelnuovo, E., Gatti, R. C., Chiarucci, A., Chieffallo, L., Da Re, D., Di Musciano, M., Foody, G. M., Gabor, L., Garzon-Lopez, C. X., Guisan, A., Hattab, T., Hortal, J., Kunin, W.E., Jordán, F., Lenoir, J., Mirri, S., Moudrý, V., Naimi, B., Nowosad, J., Sabatini, F.M., Schweiger, A.H., Šímová, P., Tessarolo, G., Zannini, P., Malavasi, M. (2023) A quixotic view of spatial bias in modelling the distribution of species and their diversity. npj biodiversity, https://doi.org/10.1038/s44185-023-00014-6
Online

Rocchini, D., Nowosad, J., D’Introno, R., Chieffallo, L., Bacaro, G., Gatti, R. C., Foody, G. M., Furrer, R., Gábor, L., Malavasi, M., Marcantonio, M., Marchetto, E., Moudrý, V., Ricotta, C., Šímová, P., Torresani, M., & Thouverai, E. (2023) Scientific maps should reach everyone: The cblindplot R package to let colour blind people visualise spatial patterns. Ecological Informatics, https://doi.org/10.1016/j.ecoinf.2023.102045
Online Software

Thouverai, E., Marcantonio, M., Lenoir, J., Galfré, M., Marchetto, E., Bacaro, G., Cazzolla Gatti, R., Da Re, D., Di Musciano, M., Furrer, R., Malavasi, M., Moudrý, V., Nowosad, J., Pedrotti, F., Pelorosso, R., Pezzi, G., Šímová, P., Ricotta, C., Silvestri, S., … Rocchini, D. (2023) Integrals of life: Tracking ecosystem spatial heterogeneity from space through the area under the curve of the parametric Rao’s Q index. Ecological Complexity, 52, https://doi.org/10.1016/j.ecocom.2023.101029
Online Preprint

Nowak, M. M., Skowroński, J., Słupecka, K., Nowosad, J. (2023) Introducing tree belt designer - A QGIS plugin for designing agroforestry systems in terms of potential insolation, Ecological Informatics, https://doi.org/10.1016/j.ecoinf.2023.102012
Online Software Software

Janiec P., Nowosad J., Zwoliński Z. (2023) A machine learning method for Arctic lakes detection in the permafrost areas of Siberia, European Journal of Remote Sensing, 56:1, https://doi.org/10.1080/22797254.2022.2163923
Online

2022

Nowosad, J., Stepinski, T. (2022) Extended SLIC superpixels algorithm for applications to non-imagery geospatial rasters. International Journal of Applied Earth Observation and Geoinformation, https://doi.org/10.1016/j.jag.2022.102935
Online Software Code & Data

Nowosad, J., Stepinski, T. F., and Iwicki, M. (2022) A method for universal supercells-based regionalization (preliminary results). Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4/W1-2022, 337–344, https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-337-2022
Online

Herodowicz-Mleczak, K., Piekarczyk, J., Kaźmierowski, C., Nowosad, J., & Mleczak, M. (2022). Estimating soil surface roughness with models based on the information about tillage practises and soil parameters. Journal of Advances in Modeling Earth Systems, 14, e2021MS002578. https://doi.org/10.1029/2021MS002578
Online

2021

Tarazona, Y., Zabala, A., Pons, X., Broquetas, A., Nowosad, J., Zurqani , H. A. (2021) Fusing Landsat and SAR Data for Mapping Tropical Deforestation through Machine Learning Classification and the PVts-β Non-Seasonal Detection Approach, Canadian Journal of Remote Sensing, DOI: 10.1080/07038992.2021.1941823
Online Preprint Software

Hesselbarth, M. H. K., Nowosad, J., Signer, J., Graham, L. J. (2021). Open-source Tools in R for Landscape Ecology. Current Landscape Ecology Reports. https://doi.org/10.1007/s40823-021-00067-y
Online Code & Data

Grinn-Gofroń, A., Bogawski, P., Bosiacka, B., Nowosad, J., Camacho, I., Sadyś, M., Skjøth, C. A., Pashley, C. H., Rodinkova, V., Çeter, T., Traidl-Hoffmann, C., Damialis, A. (2021). Abundance of Ganoderma sp. in Europe and SW Asia: modelling the pathogen infection levels in local trees using the proxy of airborne fungal spore concentrations. Science of The Total Environment, 793, 148509. DOI: 10.1016/j.scitotenv.2021.148509
Online Preprint

Mammadov, E., Nowosad, J., Glaesser, C. (2021). Estimation and mapping of surface soil properties in the Caucasus Mountains, Azerbaijan using high-resolution remote sensing data. Geoderma Regional, 26, e00411. DOI: 10.1016/j.geodrs.2021.e00411
Online Preprint

Dyba K, Nowosad J (2021) rgugik: Search and Retrieve Spatial Data from the Polish Head Office of Geodesy and Cartography in R. Journal of Open Source Software, 6(59), 2948, DOI: 10.21105/joss.02948
Online Software

Nowosad J, Stepinski TF (2021) Pattern-based identification and mapping of landscape types using multi-thematic data, International Journal of Geographical Information Science, DOI: 10.1080/13658816.2021.1893324
Online Preprint Video

Nowosad, J., 2021, Motif: an open-source R tool for pattern-based spatial analysis. Landscape Ecol 36(1), 29-43, https://doi.org/10.1007/s10980-020-01135-0
Online Preprint Software Code & Data Video

2020

Nowosad J., Gao P. (2020) belg: A Tool for Calculating Boltzmann Entropy of Landscape Gradients. Entropy. 22(9), 937, DOI:10.3390/e22090937
Online Software Code & Data

Dmowska, A., Stepinski T., Nowosad J. Racial landscapes – a pattern-based, zoneless method for analysis and visualization of racial topography. Applied Geography. 122:1-9, DOI:10.1016/j.apgeog.2020.102239
Online Preprint Software

Czernecki, B., Głogowski, A., Nowosad, J. Climate: An R Package to Access Free In-Situ Meteorological and Hydrological Datasets for Environmental Assessment. Sustainability. 12(1):394, DOI: 10.3390/su12010394
Online Software

2019

Nowosad, J., Stepinski, T. F. (2019). Stochastic, empirically‐informed model of landscape dynamics and its application to deforestation scenarios. Geophysical Research Letters, DOI: 10.1029/2019GL085952
Online Preprint

Hasselbarth M., Sciaini M., With K., Wiegand K., Nowosad J. (2019). landscapemetrics: an open‐source R tool to calculate landscape metrics. Ecography. https://doi.org/10.1111/ecog.04617
Online Software

Nowosad, J., Stepinski, T. F. (2019). Information Theory as a consistent framework for quantification and classification of landscape patterns. Landscape Ecology. https://doi.org/10.1007/s10980-019-00830-x
Online Preprint

Nowosad, J., Stepinski, T. F., Netzel, P. (2019). Global assessment and mapping of changes in mesoscale landscapes: 1992–2015. International Journal of Applied Earth Observation and Geoinformation, DOI: 10.1016/j.jag.2018.09.013
Online Preprint

Kaźmierowski, C., Herodowicz, K., Królewicz, S., Nowosad, J., Piekarczyk, J. (2019) Representative elementary area issue in soil spectral measurements. Soil and Tillage Research, 186: 259-269, DOI: 10.1016/j.still.2018.11.002
Online

Grinn-Gofroń, A., Nowosad, J., Bosiacka, B., Camacho, I., Pashley, C., Belmonte, J., De Linares, C., Ianovici, N., Maya Manzano, J.M., Sadyś, M., Skjoth, C., Rodinkova, V., Tormo-Molina, R., Vokou, D., Fernández-Rodríguez, S., Damialis, A. (2019). Airborne Alternaria and Cladosporium fungal spores in Europe: Forecasting possibilities and relationships with meteorological parameters, DOI: 10.1016/j.scitotenv.2018.10.419
Online Preprint

2018

Nowosad, J., Stepinski, T. F. (2018). Spatial association between regionalizations using the information-theoretical V-measure. International Journal of Geographical Information Science, DOI: 10.1080/13658816.2018.1511794
Online Preprint Software Software Software

Nowosad, J., Stepinski, T. F. (2018). Towards machine ecoregionalization of Earth’s landmass using pattern segmentation method. International Journal of Applied Earth Observation and Geoinformation, 69:110-118.
Online Preprint

Nowosad, J., Stepinski, T. F. (2018). Global inventory of landscape patterns and latent variables of landscape spatial configuration. Ecological Indicators, 89:159-167.
Online Preprint

Johansen, R., Beck R., Nowosad, J. et al. (2018). Evaluating the portability of satellite derived chlorophyll-a algorithms for temperate inland lakes using airborne hyperspectral imagery and dense surface observations. Harmful Algae, 76:35-46.
Online Preprint

Nowosad, J., Stach, A., Kasprzyk, I. et al. (2018). Statistical techniques for modeling of Corylus, Alnus, and Betula pollen concentration in the air. Aerobiologia. https://doi.org/10.1007/s10453-018-9514-x
Online Preprint

Czernecki, B., Nowosad, J., Jabłońska, K. (2018). Machine learning modeling of plant phenology based on coupling satellite and gridded meteorological dataset. International Journal of Biometeorology
Online

2016

Nowosad J., Stach A., Kasprzyk I., Weryszko-Chmielewska E., Piotrowska-Weryszko K., Puc M., et al. (2016) Forecasting model of Corylus, Alnus, and Betula pollen concentration levels using spatiotemporal correlation properties of pollen count. Aerobiologia, 32(3):453-468
Online

Nowosad J. (2016) Spatiotemporal models for predicting high pollen concentration level of Corylus, Alnus, and Betula. International Journal of Biometeorology, 60(6):843-855
Online

2015

Nowosad J., Stach A., Kasprzyk I., Latałowa M., Puc M., Myszkowska D., et al. (2015) Temporal and spatiotemporal autocorrelation of daily concentrations of Alnus, Betula, and Corylus pollen in Poland. Aerobiologia, 31(2):159-177
Online

2014

Nowosad J., Stach A. (2014) Relation between extensive extreme precipitation in Poland and atmospheric circulation. Quaestiones Geographicae, 33(1): 115-129
Online

Books

2025

Lovelace R., Nowosad J., Muenchow J. (2025) Geocomputation with R. CRS Press
Online

Dorman M., Graser A., Nowosad J., Lovelace R. (2025) Geocomputation with Python. CRS Press
Online

2021

Nowosad, J., (2021). Geostatystyka w R. Wydanie trzecie. Poznań: Space A. ISBN 978-83-953296-2-3
Online PDF

2020

Nowosad, J., (2020). Elementarz programisty: wstęp do programowania używając R. Wydanie pierwsze. Poznań: Space A. Online: https://nowosad.github.io/elp/ ISBN: 978-83-953296-1-9
Online PDF

2019

Lovelace R, Nowosad J., Muenchow J. (2019) Geocomputation with R. CRS Press
Online

Nowosad, J., (2019). Geostatystyka w R. Wydanie drugie. Poznań: Space A. ISBN 978-83-953296-0-9
Online PDF

2016

Nowosad, J., (2016). Geostatystyka w R. Wydanie pierwsze
PDF

Nowosad J. (2016) Forecasting of Corylus, Alnus, and Betula pollen concentration in the air in Poland. Doctoral dissertation
Online PDF

Other publications

2021

Nowosad J., Stepinski T.F. (2021) Generalizing the Simple Linear Iterative Clustering (SLIC) superpixels. UC Santa Barbara: Center for Spatial Studies. http://dx.doi.org/10.25436/E2QP4R
PDF

Nowosad J., Stepinski T.F. (2021) Describing multi-layer spatial patterns using an integrated co-occurrence matrix (INCOMA). the 29th Annual GIS Research UK Conference (GISRUK), Cardiff, Wales, UK
PDF

2019

Johansen R., Reif M., Emery E., Nowosad J., Beck R., Xu M., Liu H., waterquality: An Open-Source R Package for the Detection and Quantification of Cyanobacterial Harmful Algal Blooms and Water Quality. USACE ERDC/EL TR-19-20; DOI: 10.21079/11681/35053
Online PDF

2018

Netzel, P., Nowosad, J., Jasiewicz, J., Niesterowicz, J., Stepinski T. (2018). GeoPAT 2: user’s manual. Zenodo. http://doi.org/10.5281/zenodo.1185408
Online PDF

2017

Nowosad J., Stepinski T.F. (2017) Worldwide inventory of landscapes through segmentation of global land cover dataset. GeoComputation 2017, Leeds, UK, September 4-7, 2017

2015

Jasiewicz J., Stach A., Nowosad J. (2015) Terrain misclassification problem – analysis using pattern simulation approach. Geomorphometry for Geosciences, Edited by Jarosław Jasiewicz, Zbigniew Zwoliński, Helena Mitasova, Tomislav Hengl, 01/2015: pages 153-156; Bogucki Wydawnictwo Naukowe, ISBN: 978-83-7986-059-3