I am a computational geographer working at the intersection between geocomputation and the environmental sciences. My research has focused on developing and applying spatial methods to broaden our understanding of processes and patterns in the environment. Another vital part of my work is to create, collaborate, and improve geocomputational software.

Articles

2021

  • 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
    Abstract Online DOI
  • 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
    Abstract Online Preprint DOI
  • 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
    Abstract Online Preprint DOI

2020

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

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
    Abstract Online Preprint DOI
  • 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
    Abstract PDF Online DOI
  • 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
    Abstract PDF Online Preprint DOI
  • 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
    Abstract Online Preprint DOI
  • 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
    Abstract Online DOI
  • 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
    Abstract Online Preprint DOI

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

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

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
    Abstract PDF Online DOI

2014

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

Books

2021

  • Nowosad, J., (2021). Geostatystyka w R. Poznań: Space A. ISBN 978-83-953296-2-3. Online: https://bookdown.org/nowosad/Geostatystyka/
    Abstract PDF Online

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
    Abstract PDF Online

2019

  • Lovelace R, Nowosad J., Muenchow J. (2019) Geocomputation with R. CRS Press
    Abstract Online
  • Nowosad, J., (2019). Geostatystyka w R. Wydanie drugie. Poznań: Space A. ISBN 978-83-953296-0-9
    Abstract PDF Online

2016

  • Nowosad, J., (2016). Geostatystyka w R. Wydanie pierwsze
    Abstract PDF Online
  • Nowosad J. (2016) Forecasting of Corylus, Alnus, and Betula pollen concentration in the air in Poland. Doctoral dissertation
    Abstract PDF

Other

2021

  • 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
    Abstract 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
    Abstract PDF Online DOI

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
    Abstract PDF Online DOI

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
    Abstract PDF

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
    Abstract PDF