Published August 31, 2021 | Version v1
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Navigating the Parameters of Dynamic Geographic Information Systems (GIS) Analysis

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In today's rapidly evolving landscape of Geographic Information Systems (GIS), understanding the intricate parameters that govern GIS analysis is paramount. This title encapsulates the essence of delving into the multifaceted dimensions of GIS, where a myriad of factors converges to shape the process and outcomes of spatial analysis. From the selection of input data and spatial layers to the fine-tuning of analytical techniques and model parameters, every step in GIS analysis is governed by a set of parameters that influence the accuracy, reliability, and relevance of the results. The title beckons researchers, practitioners, and enthusiasts alike to embark on a journey of exploration, unraveling the complexities of GIS analysis and its underlying parameters. It speaks to the dynamic nature of GIS, where the interplay of spatial data, computational algorithms, and user-defined parameters creates a rich tapestry of insights and discoveries. Whether mapping urban growth patterns, assessing natural resource availability, or modeling environmental change, understanding the parameters of GIS analysis is essential for unlocking the full potential of spatial data and informing decision-making processes. Moreover, the title hints at the transformative power of GIS as a tool for understanding and addressing complex spatial phenomena. By scrutinizing the parameters of GIS analysis, researchers can gain deeper insights into the underlying processes driving spatial patterns and trends. They can identify optimal parameter settings, refine analytical workflows, and enhance the accuracy and precision of spatial models and predictions. In essence, "Exploring the Parameters: Understanding the Dynamics of GIS Analysis" encapsulates the essence of GIS as a dynamic and evolving field, where the exploration of parameters serves as a gateway to unlocking the full potential of spatial analysis and harnessing the power of geography to address real-world challenges and opportunities.

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References

  • [1]. MohanRajan, S. N., Loganathan, A., & Manoharan, P. (2020). Survey on Land Use/Land Cover (LU/LC) change analysis in remote sensing and GIS environment: Techniques and Challenges. Environmental Science and Pollution Research, 27(24), 29900-29926.
  • [2]. MohanRajan, S. N., & Loganathan, A. (2021). Modelling spatial drivers for LU/LC change prediction using hybrid machine learning methods in Javadi Hills, Tamil Nadu, India. Journal of the Indian Society of Remote Sensing, 49(4), 913-934.
  • [3]. Madhu, T., Kumar, D. N., Reddy, D. N., Teja, P. R., Narayana, L., Vishal, V., ... & Shakeena, V. (2017). Spatial-temporal analysis of LU/LC Classification in Nirmal Mandal, Adilabad, Telangana State, India, by using remote sensing and GIS. International Journal of Geosciences, 8(11), 1315-1331.
  • [4]. Borana, S. L., Yadav, S. K., Parihar, S. K., & Palria, V. S. (2014). Impact analysis of sandstone mines on environment and LU/LC features using remote sensing and gis technique: A case study of the Jodhpur City, Rajasthan, India. Journal of Environmental Research and Development, 8(3A), 796.
  • [5]. Rajani, A., & Varadarajan, S. (2020). LU/LC change detection using NDVI & MLC through remote sensing and GIS for Kadapa region. In Cognitive Informatics and Soft Computing: Proceeding of CISC 2019 (pp. 215-223). Springer Singapore.
  • [6]. Mallupattu, P. K., & Sreenivasula Reddy, J. R. (2013). Analysis of land use/land cover changes using remote sensing data and GIS at an Urban Area, Tirupati, India. The Scientific World Journal, 2013.
  • [7]. Kumari, B., Shahfahad, Tayyab, M., Ahmed, I. A., Baig, M. R. I., Ali, M. A., ... & Rahman, A. (2021). Land use/land cover (LU/LC) change dynamics using indices overlay method in Gautam Buddha Nagar District-India. GeoJournal, 1-19.
  • [8]. Mkumbo, N. J., Mussa, K. R., Mariki, E. E., & Mjemah, I. C. (2022). The Use of the DRASTIC-LU/LC model for assessing groundwater vulnerability to nitrate contamination in Morogoro Municipality, Tanzania. Earth, 3(4), 1161-1184.
  • [9]. Yadav, S. K., Borana, S. L., & Parihar, S. K. (2018). Mapping and assessment of LU-LC features of the Jodhpur city using geoinformatic techniques.
  • [10]. Ruiz-Matute, A. I., Hernández-Hernández, O., Rodríguez-Sánchez, S., Sanz, M. L., & Martínez-Castro, I. (2011). Derivatization of carbohydrates for GC and GC–MS analyses. Journal of chromatography B, 879(17-18), 1226-1240.
  • [11]. Holloway, L. (1998). Materials selection for optimal environmental impact in mechanical design. Materials & Design, 19(4), 133-143.
  • [12]. Muttar, A. Q., Mustafa, M. T., & Shareef, M. A. H. A. (2022). The Impact of (DEM) Accuracy and (LC/LU) Resolution on the Watersheds Areas. Journal of Techniques, 4(1), 17-28.
  • [13]. Zhang, Z., Kou, X., Fugal, K., & McLaughlin, J. (2004). Comparison of HPLC methods for determination of anthocyanins and anthocyanidins in bilberry extracts. Journal of Agricultural and Food Chemistry, 52(4), 688-691.
  • [1]. Sahu, S. R., Rawat, K. S., Singh, S. K., & Bahuguna, A. (2022, November). Land use land cover (LU/LC) change analysis using earth observation data sets over Jharsuguda districts of Odisha. In AIP Conference Proceedings (Vol. 2481, No. 1). AIP Publishing.
  • [15]. Ranjan, A. K., Anand, A., Vallisree, S., & Singh, R. K. (2016). LU/LC change detection and forest degradation analysis in Dalma wildlife sanctuary using 3S technology: A case study in Jamshedpur-India. Aims Geosciences, 2(4), 273-285.
  • [16]. Anees, M. T., Javed, A., & Khanday, M. Y. (2014). Spatio-temporal land cover analysis in Makhawan Watershed (MP), India through remote sensing and GIS techniques. Journal of Geographic Information System, 2014.
  • [17]. Siddique, I. M. (2021). Carbon nanotube-based sensors – A review. Chemistry Research Journal, 2021, 6(1):197-205.
  • [18]. Siddique, I. M. (2021) Sustainable Water Management in Urban Areas: Integrating Innovative Technologies and Practices to Address Water Scarcity and Pollution. The Pharmaceutical and Chemical Journal, 2021, 8(1):172-178.
  • [19]. Siddique, I. M. (2021). Unveiling the Power of High-Performance Liquid Chromatography: Techniques, Applications, and Innovations. European Journal of Advances in Engineering and Technology, 8(9), 79-84.