Publications
Articles
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
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