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Automation of building a cartogram for ecological and economic feasibility of the lands with the agricultural determination

    Roman Shulgan   Affiliation
    ; Oleksandr Yanchuk Affiliation
    ; Olena Kibukevich Affiliation
DOI: https://doi.org/10.3846/gac.2020.9811

Abstract

The conceptual model of automated building of the cartogram of ecological and economic lands feasibility with the agricultural determination has been developed. The coding system for attributive characteristics of agroproductive groups of soils and reliefs has been proposed. The represented concept has been realized in the ModelBuilder module of the software product called ArcGIS with the help of creating an instrument to build the cartogram for the ecological and economic feasibility of lands in an automatic mode. As a result, the instrument, which allows the execution dividing the territory into the feasibility groups of lands, has been received basing on the input raster or vector values.

Keyword : ecological and economic estimation, the lands with the agricultural determination, GIS, the profile set of geospatial data, the ModelBuilder module, scientifically grounded rotation of crops, natural cropping capacity

How to Cite
Shulgan, R., Yanchuk, O., & Kibukevich, O. (2020). Automation of building a cartogram for ecological and economic feasibility of the lands with the agricultural determination. Geodesy and Cartography, 46(1), 17-25. https://doi.org/10.3846/gac.2020.9811
Published in Issue
Apr 2, 2020
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This work is licensed under a Creative Commons Attribution 4.0 International License.

References

AbdelRahman, M. A. E., Natarajan, A., & Hegde, R. (2016). Assessment of land suitability and capability by integrating remote sensing and GIS for agriculture in Chamarajanagar district, Karnataka, India. The Egyptian Journal of Remote Sensing and Space, 19, 125–141. https://doi.org/10.1016/j.ejrs.2016.02.001

Elsheikh, R., Shariff, A. R. M., Amiri, F., Ahmad, N., Balasundram, S. K., & Soome, A. M. (2013). Agriculture Land Suitability Evaluator (ALSE): A decision and planning support tool for tropical and subtropical crops. Computers and Electronics in Agriculture, 93, 98–110. https://doi.org/10.1016/j.compag.2013.02.003

How Weighted Overlay works. (n.d.). Retrieved November 14, 2018, from http://desktop.arcgis.com/en/arcmap/10.3/tools/spatial-analyst-toolbox/how-weighted-overlay-works.htm

Kornilov, L. (2005). Zemlevporiadne proektuvannia. Metodyka vykonannia rozrakhunkovo hrafichnykh robit ta kursovykh proektiv: navchalnyi posibnyk. Kondor (in Ukrainian).

Mokarram, M., & Mirsoleimani, A. (2018). Using Fuzzy-AHP and order weight average (OWA) methods for land suitability determination for citrus cultivation in ArcGIS (case study: Fars province, Iran). Physica A: Statistical Mechanics and its Applications, 508, 506–518. https://doi.org/10.1016/j.physa.2018.05.062

Nguyen, T., Verdoodt, A., Tran, V., Delbecque, N., Tran, T., & Van Ranst, E. (2015). Design of a GIS and multi-criteria based land evaluation procedure for sustainable land-use planning at the regional level. Agriculture, Ecosystems & Environment, 200, 1–11. https://doi.org/10.1007/s40808-018-0499-9

Odariuk, T., Rusina, N., & Baseniuk, T. (2010). Zemlevporiadne proektuvannia: navchalnyi posibnyk. Agrarna osvita (in Ukrainian).

Shulgan, R., Kibukevich, O., Yanchuk, O., & Nikolaichuk, K. (2017). GRID-model of natural agricultural zoning. Geodesy and Cartography, 43(1), 22–27. https://doi.org/10.3846/20296991.2017.1299844

What is ModelBuilder? (n.d.). Retrieved December 10, 2018, from http://pro.arcgis.com/en/pro-app/help/analysis/geoprocessing/modelbuilder/what-is-modelbuilder-.htm