Abstract
Geographical Information Systems (GIS) are crucial to every domain application especially for natural resource, land assessment, and management. Agriculture and terrain conditions are associated with each other where quality and usage of one defines the impact on the other. There is always a concern about terrain related issues and its corresponding native geo-spatial solutions. The present paper focuses upon Terrain Attribute Prediction Modelling for Southern Gujarat. It describes the authors’ approach towards determination of the variogram model and its parameters through extensive calibration and validation of experiment. The proposed Terrain Attribute Prediction Model achieves an accuracy of more than 74%.
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References
Zheng S (2010) Crop production on acidic soils: overcoming aluminium toxicity and phosphorus deficiency. Anal Bot 106(1):183–184
Thakor K, Dharaiya N, Singh V, Patel A, Mehmood K, Kalubarme M (2014) Soil resources information system for improving productivity using geo-informatics technology. Int J Geosci 5(8):771–794
Dey P, Karwariya S, Bhogal N (2017) Spatial variability analysis of soil properties using geospatial technique in Katni district of Madhya Pradesh, India. Int J Plant Soil Sci 17(3):1–13
Patel PL, Patel NP, Patel HP, Gharekhan A (2014) Study of basic soil properties in relation with micronutrients of Mandvi tahsil near coastal region of Kutch district. Int J Sci Res 3(6):28–31
Tailor J, Lad K (2017) Assessing geo-spatial distribution of soil profile: a study of Bardoli, Mandvi and Umarpada talukas. Int J Eng Technol Sci Res 4(11):194–199
Dasgupta, Make it in India. 7 March 2016. https://www.geospatialworld.net/article/make-it-in-india/. Accessed 22 Oct 2017
Bickelhaupt D, Schmedicke R (2017) Soil pH: what it means? College of Environmental Science and Forestry. http://www.esf.edu/pubprog/brochure/soilph/soilph.htm. Accessed 23 Oct 2017
Tailor J, Gulati R, Tailor R (2015) Application of ordinary kriging on educational data using FOSS4G: R platform. In: OSGEO-FOSS4G proceedings, Dehradun
Tailor J, Lad K, Gulati R (2017) Measuring spatial correlation of soil pH and Fe using theoretical variograms. Int J Comput Sci Netw 6(5):533–538
Saved E, Omran E (2012) Improving the prediction accuracy of soil mapping through geostatistics. Int J Geosci 3(1):574–590
Poshtmasari HK, Sarvestani ZT, Kamkar B, Shataei S, Sadeghi S (2012) Comparision of interpolation methods for estimating pH and EC in agricultural fields of Golestan province. Int J Agric Crop Sci 4(4):157–167
Burnham K, Anderson D, Huyvaert K (2011) AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons. Behav Ecol Sociobiol 65:23–35
Heuvelink GM, Webster R (2001) Modelling soil variation: past, present, and future. Geoderma 100(3–3):269–301
Tailor J, Gulati R (2015) Comparing prediction accuracy of OK and RK for the soils of Surat talukas. In: IEEE TIAR-2015, Chennai
Rathod R, Kanet G, Sardhara N, Solanki H, Vaghani B, Tailor J (2013) Application of ordinary kriging on educational datasets. Natl J Syst Inf Technol 7(2):91–98
Mulatani K, Mohammad A, Jadav M, Tailor J (2016) Analyzing Spatial Autocorrelation in distribution of soil chemical properties using Moran’I and Variogram for talukas of Surat district. Natl J Syst Inf Technol 9(2):97–107
Tailor J, Lad K (2017) Terrain mapping for South Gujarat: A GIS based solution for geo-Community. Int J Future Revolut Comput Sci Commun Eng 3(10):230–233
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Tailor, J., Lad, K. (2019). Terrain Attribute Prediction Modelling for Southern Gujarat: A Geo-spatial Perspective. In: Rathore, V., Worring, M., Mishra, D., Joshi, A., Maheshwari, S. (eds) Emerging Trends in Expert Applications and Security. Advances in Intelligent Systems and Computing, vol 841. Springer, Singapore. https://doi.org/10.1007/978-981-13-2285-3_35
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DOI: https://doi.org/10.1007/978-981-13-2285-3_35
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