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. I have been involved in various interdisciplinary collaborations on topics of extreme precipitation modeling, terrain classifications, phenology forecasting, and soil properties determination. My research interests also include spatial analysis, statistics, and programming. I have extensive teaching experience in the fields of spatial analysis, geostatistics, statistics, and machine learning. I am an avid R user and an active member of the R community. I am currently an Assistant Professor at the Department of Geoinformation at Adam Mickiewicz University in Poznan, Poland. Prior to that, I was a Postdoc in the Space Informatics Lab at University of Cincinnati, where I worked on designing and implementing methods for automatic segmentation and clustering of global terrestrial ecoregions. I received my MA and PhD from the Department of Geoinformation at Adam Mickiewicz University in Poznan, Poland. My PhD dissertation focused on spatiotemporal predictions of allergic pollen concentration using machine learning and GIS.

Articles

2020

  • 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

2019

  • Nowosad, J., (2019). Elementarz programisty: wstęp do programowania używając R. Poznań: Space A. Online: https://nowosad.github.io/elp/
    Abstract PDF Online
  • 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

Others

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 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