Akcije

Zbornik radova - Geografski fakultet Univerziteta u Beogradu
kako citirati ovaj članak
podeli ovaj članak

Metrika

  • citati u SCIndeksu: [2]
  • citati u CrossRef-u:[2]
  • citati u Google Scholaru:[]
  • posete u poslednjih 30 dana:36
  • preuzimanja u poslednjih 30 dana:35

Sadržaj

članak: 1 od 1  
Using R packages 'tmap', 'raster' and 'ggmap' for cartographic visualization: An example of dem-based terrain modelling of Italy, Apennine Peninsula
(naslov ne postoji na srpskom)
Russian Academy of Sciences, Schmidt Institute of Physics of the Earth, Department of Natural Disasters, Moscow, Russian Federation

e-adresapauline.lemenkova@gmail.com
Sažetak
(ne postoji na srpskom)
The main purpose of this article is to present the use of R programming language in cartographic visualization demonstrating using machine learning methods in geographic education. Current trends in education technologies are largely influenced by the possibilities of distance-learning, e-learning and selflearning. In view of this, the main tendencies in modern geographic education include active use of open source GIS and publicly available free geospatial datasets that can be used by students for cartographic exercises, data visualization and mapping, both at intermediate and advanced levels. This paper contributes to the development of these methods and is fully based on the datasets and tools available for every student: the R programming language and the free open source datasets. The case study demonstrated in this paper show the examples of both physical geographic mapping (geomorphology) and socio-economic geography (regional mapping) which can be used in the classes and in self-learning. The objective of this research includes geomorphological modelling of the terrain relief in Italy and regional mapping. The data include dem SRTM90 and datasets on regional borders of Italy embedded in R packages 'maps' and 'mapdata'. Modelling references to the characteristics of slope, aspect, hillshade and elevation, their visualization using R packages: 'raster' and 'tmap'. Regional mapping of Italy was made using main package 'ggmap' with the 'ggplot2' as a wrapper. The results present five thematic maps (slope, aspect, hillshade, elevation and regions of Italy) created in R language. Traditionally used in statistical analysis, R is less known as a perfect tool in geographic education. This paper contributes to the development of methods in geographic education by presenting new technologies of the machine learning methods of mapping.
Reference
Allen, J.R.M., Brandt, U., Brauer, A., Hubberten, H., Huntley, B., Keller, J., Kraml, M., Mackensen, A., Mingram, J., Negendank, J.F.W., Nowaczyk, N.R., Oberhänsli, H., Watts, W.A., Wulf, S., Zolitschka, B. (1999) Rapid environmental changes in Southern Europe during the last glacial period. Nature, 400(6746), 740-743
Allevato, E., Saulino, L., Cesarano, G., Chirico, G.B., D'urso, G., Falanga, B.S., Rita, A., Rossi, S., Saracino, A., Bonanomi, G. (2019) Canopy damage by spring frost in European beech along the Apennines: Effect of latitude, altitude and aspect. Remote Sensing of Environment, 225, 431-440
Alvioli, M., Guzzetti, F., Marchesini, I. (2020) Parameter-free delineation of slope units and terrain subdivision of Italy. Geomorphology, 358, 107124
Alvioli, M., Marchesini, I., Reichenbach, P., Rossi, M., Ardizzone, F., Fiorucci, F., Guzzetti, F. (2016) Automatic delineation of geomorphological slope units with r.slopeunits v1.0 and their optimization for landslide susceptibility modeling. Geoscientific Model Development, 812(9), 3975-3991
Antonielli, B., Della, S.M., Esposito, C., Scarascia, M.G., Schilirò, L., Spadi, M., Tallini, M. (2020) Quaternary rock avalanches in the Apennines: New data and interpretation of the huge clastic deposit of the L'Aquila Basin (central Italy). Geomorphology, 361, 107194
Ascione, A., Cinque, A., Miccadei, E., Villani, F., Berti, C. (2008) The Plio-Quaternary uplift of the Apennine chain: New data from the analysis of topography and river valleys in Central Italy. Geomorphology, 102(1), 105-118
Bartolini, C. (2003) When did the Northern Apennine become a mountain chain?. Quaternary International, 101-102, 75-80
Bartolini, C., D'agostino, N., Dramis, F. (2003) Topography, exhumation, and drainage network evolution of the Apennines. Episodes, 26(3), 212-216
Becker, R.A., Wilks, A.R., Brownrigg, R., Minka, T.P. (2013) Maps: Draw geographical maps. http://CRAN.R-project.org/package=maps R package version 2.3-2
Becker, R.A., Wilks, A.R. (1995) Constructing a geographical database. u: AT&T Bell Laboratories Statistics Research Report [95.2]
Becker, R.A., Wilks, A.R. (1993) Maps in S. u: AT&T Bell Laboratories Statistics Research Report [93.2]
Bertotti, G., Capozzi, R., Picotti, V. (1997) Extension controls Quaternary tectonics, geomorphology and sedimentation of the N-Appennies foothills and adjacent Po Plain (Italy). Tectonophysics, 282(1-4), 291-301
Bivand, R.S., Pebesma, E.J., Gómez-Rubio, V. (2013) Applied spatial data analysis with R. New York: Springer
Brewer, C.A., Hatchard, G.W., Harrower, M.A. (2003) ColorBrewer in print: A catalog of color schemes for maps. Cartography and Geographic Information Science, 30(1), 5-32
Bull, W.B. (2007) Tectonic geomorphology of mountains: A new approach to paleoseismology. Oxford, UK: Blackwell Publishing, 328 pp., ISBN: 978-1-405-15479-6
Centamore, E., Nisio, S. (2003) Effects of uplift and tilting in the Central-Northern Apennines (Italy). Quaternary International, 102, 93-101
Cosentino, D., Asti, R., Nocentini, M., Gliozzi, E., Kotsakis, T., Mattei, M., Esu, D., Spadi, M., Tallini, M., Cifelli, F., Pennacchioni, M., Cavuoto, G., di Fiore, V. (2017) New insights into the onset and evolution of the central Apennine extensional intermontane basins based on the tectonically active L'Aquila Basin (central Italy). GSA Bulletin, 129(9-10), 1314-1336
da Serra, C.F., Machado, D.J., Pereira, D.N.F., Rodrigues, S.M.F. (1996) Linking a synthetic storm generation model with the IDRISI GIS. u: HydroGIS96: Application of Geographic Information Systems in Hydrology and Water Resources Management (Proceedings of the Vienna Conference, April 1996), IAHS Publ, 235, 107-113
Drăguţ, L., Eisank, C. (2012) Automated object-based classification of topography from SRTM data. Geomorphology, 141-142, 21-33
Evans, I.S. (2012) Geomorphometry and landform mapping: What is a landform?. Geomorphology, 137(1), 94-106
Frey, H., Paul, F. (2012) On the suitability of the SRTM dem and ASTER GDEM for the compilation of topographic parameters in glacier inventories. International Journal of Applied Earth Observation and Geoinformation, 18, 480-490
Gauger, S., Kuhn, G., Gohl, K., Feigl, T., Lemenkova, P., Hillenbrand, C. (2007) Swathbathymetric mapping. Reports on Polar and Marine Research, 557, 38-45
Gemelli, A., Mancini, A., Longhi, S. (2011) GIS-based energy-economic model of low temperature geothermal resources: A case study in the Italian Marche region. Renewable Energy, 36(9), 2474-2483
Geurts, A.H., Whittaker, A.C., Gawthorpe, R.L., Cowie, P.A. (2020) Transient landscape and stratigraphic responses to drainage integration in the actively extending central Italian Apennines. Geomorphology, 353, 107013
Giano, S.I., Pescatore, E., Agosta, F., Prosser, G. (2018) Geomorphic evidence of Quaternary tectonics within an underlap fault zone of southern Apennines, Italy. Geomorphology, 303, 172-190
Guido, M.A., Molinari, C., Moneta, V., Branch, N., Black, S., Simmonds, M., Stastney, P., Montanari, C. (2020) Climate and vegetation dynamics of the Northern Apennines (Italy) during the Late Pleistocene and Holocene. Quaternary Science Reviews, 231, 106206
Hijmans, R.J. (2017) Raster: Geographic data analysis and modeling. R package version 2.6-7. https://CRAN.R-project.org/package=raster
Hirt, C. (2018) Artefact detection in global digital elevation models (DEMs): The Maximum Slope Approach and its application for complete screening of the SRTM v4.1 and MERIT DEMs. Remote Sensing of Environment, 207, 27-41
Horn, B.K.P. (1981) Hill shading and the reflectance map. Proceedings of the IEEE, 69(1), 14-47
Iwahashi, J., Pike, R.J. (2007) Automated classifications of topography from DEMs by an unsupervised nested-means algorithm and a three-part geometric signature. Geomorphology, 86(3-4), 409-440
Jones, K.H. (1998) A comparison of algorithms used to compute hill slope as a property of the dem. Computers & Geosciences, 24(4), 315-323
Kahle, D., Wickham, H. (2013) Ggmap: Spatial Visualization with ggplot2. R Journal, 5(1), 144-161
Klauco, M., Gregorova, B., Koleda, P., Stankov, U., Markovic, V., Lemenkova, P. (2017) Land planning as a support for sustainable development based on tourism: A case study of Slovak Rural Region. Environmental Engineering and Management Journal, 16(2), 449-458
Klaučo, M., Gregorová, B., Stankov, U., Marković, V., Lemenkova, P. (2013) Interpretation of landscape values, typology and quality using methods of spatial metrics for ecological planning. u: Environmental and Climate Technologies, October 14, 2013. Riga, Latvia
Klaučo, M., Gregorová, B., Stankov, U., Marković, V., Lemenkova, P. (2014) Landscape metrics as indicator for ecological significance: Assessment of Sitno Natura 2000 sites, Slovakia. u: Ecology and Environmental Protection, March 19-20, 2014, Minsk: BSU Press, 85-90
Klaučo, M., Gregorová, B., Stankov, U., Marković, V., Lemenkova, P. (2013) Determination of ecological significance based on geostatistical assessment: A case study from the Slovak Natura 2000 protected area. Open Geosciences, 5(1), 28-42
Kuhn, G., Hass, C., Kober, M., Petitat, M., Feigl, T., Hillenbrand, C.D., Kruger, S., Forwick, M., Gauger, S., Lemenkova, P. (2006) The response of quaternary climatic cycles in the South-East Pacific: development of the opal belt and dynamics behavior of the West Antarctic ice sheet. u: Gohl K. [ur.] Expeditions programm Nr. 75 ANT XXIII/4, Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research
Lemenkova, P. (2020) Using GMT for 2D and 3D modeling of the Ryukyu trench topography, Pacific Ocean. Miscellanea Geographica, 25(3), 1-13
Lemenkova, P. (2020) The geomorphology of the Makran Trench in the context of the geological and geophysical settings of the Arabian Sea. Geology, Geophysics & Environment, 46(3), 205-222
Lemenkova, P. (2011) Seagrass mapping and monitoring along the coasts of Crete, Greece. Netherlands: University of Twente, M.Sc. Thesis, 158
Lemenkova, P. (2014) Opportunities for classes of geography in the high school: The Use of 'CORINE' project data, satellite images and IDRISI GIS for geovisualization. u: Perspectives for the Development of Higher Education. Belarus, Grodno, 284-286
Lemenkova, P. (2013) Monitoring changes in agricultural landscapes of Central Europe, Hungary: Application of ILWIS GIS for image processing. u: Geoinformatics: Theoretical and Applied Aspects. Ukraine, Kiev, May 13-16, EAGE Publications BV
Lemenkova, P., Promper, C., Glade, T. (2012) Economic assessment of landslide risk for the Waidhofen a.d. Ybbs Region, Alpine Foreland, Lower Austria. u: Eberhardt E., Froese C., Turner A.K., Leroueil S. [ur.] Protecting Society through Improved Understanding. 11 th International Symposium on Landslides & the 2 nd North American Symposium on Landslides & Engineered Slopes (NASL), June 2-8, 2012. Canada, Ban, 279-285
Lemenkova, P. (2020) SAGA GIS for information extraction on presence and conditions of vegetation of northern coast of Iceland based on the Landsat TM. Acta Biologica Marisiensis, 3(2), 10-21
Lemenkova, P. (2020) GEBCO gridded bathymetric datasets for mapping Japan trench geomorphology by means of GMT Scripting Toolset. Geodesy and cartography, 46(3), 98-112
Lemenkova, P. (2020) Fractal surfaces of synthetical dem generated by GRASS GIS module r.surf.fractal from ETOPO1 raster grid. Journal of Geodesy and Geoinformation, 7(2), 86-102
Lemenkova, P. (2020) R Libraries {dendextend} and {magrittr} and Clustering Package scipy.cluster of Python for modelling diagrams of dendrogram trees. Carpathian Journal of Electronic and Computer Engineering, 13(1), 5-12
Lemenkova, P. (2019) Statistical analysis of the Mariana Trench geomorphology using R programming language. Geodesy and cartography, 45(2), 57-84
Lemenkova, P. (2019) Topographic surface modelling using raster grid datasets by GMT: Example of the Kuril-Kamchatka Trench, Pacific Ocean. Reports on Geodesy and Geoinformatics, 108(1), 9-22
Lemenkova, P. (2019) AWK and GNU octave programming languages integrated with generic mapping tools for geomorphological analysis. GeoScience Engineering, 65(4), 1-22
Lemenkova, P. (2019) Testing linear regressions by statsmodel library of python for oceanological data interpretation. Aquatic Sciences and Engineering, 34(2), 51-60
Lemenkova, P. (2018) R scripting libraries for comparative analysis of the correlation methods to identify factors affecting Mariana Trench formation. Journal of Marine Technology and Environment, 2, 35-42
Lemenkova, P. (2015) To the question of the environmental education: How landsat TM, ETM+ and MSS images can be processed by GIS-techniques for geospatial research. u: Trends and Perspectives in the Creating Regional Systems of the Additional Adults Education, Vitebsk, Belarus
Lemenkova, P. (2020) NOAA marine geophysical data and a GEBCO grid for the topographical analysis of Japanese Archipelago by means of GRASS GIS and GDAL Library. Geomatics and Environmental Engineering, 14(4), 25-25
Murrell, P. (2005) R Graphics. Chapman & Hall/CRC Press
Neuwirth, E. (2014) RColorBrewer: ColorBrewer Palettes. R package version 1.1-2. https://CRAN.R-project.org/package=RColorBrewer
Pebesma, E. (2017) Sf: Simple features for R. R package version 0.4-1. https://CRAN.R-project.org/package=sf
Pike, R.J., Acevedo, W., Card, D.H. (1989) Topographic grain automated from digital elevation models. u: Auto-Carto 9, ASPRS/ACSM Baltimore MD, 2-7 April 1989, Proceedings, 128-137
R Core Team (1993) R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing, https://www.Rproject.org
R Studio Team (2017) RStudio: Integrated development environment for R. Boston, MA: RStudio, Inc, https://www.RStudio.com
Ritter, P. (1987) A vector-based slope and aspect generation algorithm. Photogrammetric Engineering and Remote Sensing, 53, 1109-1111
Roberts, G.P., Michetti, A.M. (2004) Spatial and temporal variations in growth rates along active normal fault systems: An example from the Lazio-Abruzzo Apennines, central Italy. Journal of Structural Geology, 26(2), 339-376
Schenke, H.W., Lemenkova, P. (2008) Zur Frage der Meeresboden-Kartographie: Die Nutzung von AutoTrace Digitizer für die Vektorisierung der Bathymetrischen Daten in der Petschora-See. Hydrographische Nachrichten, 81, 16-21
Suetova, I.A., Ushakova, L.A., Lemenkova, P. (2005) Geoinformation mapping of the Barents and Pechora Seas. Geography and Natural Resources, 4, 138-142
Tarquini, S., Isola, I., Favalli, M., Mazzarini, F., Bisson, M., Pareschi, M.T., Boschi, E. (2007) TINITALY/01: A new triangular irregular network of Italy. Annales Geophysicae, 50, 407-425
Tennekes, M. (2018) Tmap: Thematic maps in R. Journal of Statistical Software, 84(6), 1-39
Vacca, A., Loddo, S., Melis, M.T., Funedda, A., Puddu, R., Verona, M., Fanni, S., Fantola, F., Madrau, S., Marrone, V.A., Serra, G., Tore, C., Manca, D., Pasci, S., Puddu, M.R., Schirru, P. (2014) A GIS based method for soil mapping in Sardinia, Italy: A geomatic approach. Journal of Environmental Management, 138, 87-96
Wickham, H. (2009) Ggplot2: Elegant graphics for data analysis. Springer-Verlag
Zuffetti, C., Bersezio, R. (2020) Morphostructural evidence of late quaternary tectonics at the Po Plain-Northern Apennines border (Lombardy, Italy). Geomorphology, 364, 107245
 

O članku

jezik rada: engleski
vrsta rada: pregledni članak
DOI: 10.5937/zrgfub2068099L
primljen: 27.11.2020.
revidiran: 09.12.2020.
prihvaćen: 14.12.2020.
objavljen onlajn: 22.12.2020.
objavljen u SCIndeksu: 12.01.2021.
Creative Commons License 4.0

Povezani članci

Nema povezanih članaka