GIS

Advancing GIS Software for Environmental Conservation and Natural Resource Management

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By Shahabuddin Amerudin Abstract Geographic Information Systems (GIS) have become indispensable tools for government agencies engaged in environmental conservation and natural resource management. This paper delves into three critical aspects of GIS software development that play a pivotal role in these contexts. Firstly, it discusses the significance of the “Build Once, Deploy Anywhere” approach, emphasizing its relevance to government agencies striving for efficient GIS software development. Secondly, it provides a comprehensive comparison between server-based GIS solutions and mobile GIS applications, highlighting their suitability for specific tasks related to environmental conservation and natural resource management. Lastly, it explores the design of […]

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The Evolution, Development, and Future of GIS Software

By • • Knowledge, Research, Teaching • , , , , , , , , , , , , • 8 minutes of reading

By Shahabuddin Amerudin Introduction Geographic Information Systems (GIS) have undergone a remarkable transformation since their inception, playing a pivotal role in shaping the geospatial technology landscape. As GIS technology continues to advance, it not only revolutionizes how we interact with our environment but also contributes significantly to environmental conservation and natural resource management. In this article, we explore the milestones, advancements, and current state of GIS software, along with its development, emerging trends, vendor contributions, system architectures, and the role of open-source solutions in GIS applications. Evolution of GIS Software Milestones and Advancements The journey of GIS software can be

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Predicting House Demand with Spatial Considerations in a Growing Suburb

By • • Knowledge, Research, Teaching • , , , , , , , • 4 minutes of reading

By Shahabuddin Amerudin Introduction As a real estate developer planning to invest in a growing suburban area, you recognize that housing demand is not solely influenced by time-related factors but also by spatial considerations. To make precise predictions about where and when houses will be in demand, you need to incorporate both temporal and spatial elements into your forecasting. Defining the Objective The objective remains to forecast the demand for houses in the suburban area over the next five years, but now with a spatial dimension. You want to estimate the number of new homes that potential buyers are likely

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Fostering Innovation in Government GIS Applications: A Comprehensive Comparison of Methodologies

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By Shahabuddin Amerudin In recent years, the advancement of Geographic Information Systems (GIS) has transformed the way government agencies operate and interact with their constituents. The integration of GIS technology has not only revolutionized data management but has also significantly impacted decision-making processes across various departments. This article explores the methods, benefits, limitations, and potential impact of GIS applications in the government sector, with a focus on fostering innovation and collaboration. Three-Tier Architectures and Integration Approaches GIS applications in government agencies often rely on three-tier architectures to ensure efficient data sharing, integration, and interaction. The first tier involves desktop applications

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Harnessing the Power of GIS and Geospatial Data: Architecture, Applications, and Advancements

By • • Knowledge, Research, Teaching • , , , • 3 minutes of reading

By Shahabuddin Amerudin In today’s rapidly evolving technological landscape, Geographic Information Systems (GIS) have emerged as indispensable tools that bridge the gap between geography and data. These systems enable us to visualize, analyze, and interpret spatial information, revolutionizing decision-making processes across various industries. The marriage of GIS with geospatial data has given rise to novel methodologies, applications, and solutions that have the potential to reshape the way we interact with our environment, manage resources, and predict future scenarios. In this article, we delve into the multifaceted world of GIS and geospatial data, exploring their architecture, applications, and the emerging trends

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Chemical Leak Management: Predictive Modelling Techniques using GIS

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By Shahabuddin Amerudin Introduction In the intricate landscape of industrial operations, chemical leaks stand as critical challenges that require rapid and precise responses. The fusion of technology, data, and science has led to the emergence of advanced modeling techniques that enable accurate prediction of the distribution of hazardous chemicals during such incidents. This article delves deep into the methodology behind utilizing atmospheric dispersion models and Geographic Information Systems (GIS) to forecast the spread of dangerous substances during leaks. By unraveling this process, we illuminate the pivotal role that these techniques play in ensuring efficient response and mitigation strategies. Predictive Modeling:

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The Dynamic Potential of Named Entity Recognition (NER) in Extracting and Analyzing Geospatial Data

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By Shahabuddin Amerudin Named Entity Recognition (NER), an integral component of Natural Language Processing (NLP), plays a pivotal role in extracting meaningful information from unstructured text. This technique involves the identification and classification of specific entities within text, ranging from names of people and organizations to temporal expressions and geographic locations. The applications of NER are wide-ranging and impactful across diverse industries. In this comprehensive article, we will delve deeper into the mechanics of NER, explore its diverse applications, and focus on a specific use case: geospatial data extraction facilitated by the EntityRecognizer model. The Mechanism Behind NER At its

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Simplifying Automated Building Footprint Extraction with Deep Learning in GIS

By • • Knowledge, Project, Public, Teaching • , , , • 3 minutes of reading

By Shahabuddin Amerudin Abstract This paper delves into the realm of geospatial data processing, highlighting the amalgamation of Python scripting and advanced deep learning techniques for object detection. The resulting synergy offers an avenue to streamline complex tasks within this domain. The focus of this work is on the automation of building footprint extraction from aerial imagery using these integrated methodologies. Automated Building Footprint Extraction via Deep Learning Techniques Consider a scenario where the conventional approach of manually delineating building footprints from newly acquired aerial imagery demands weeks of laborious effort. Conversely, a technologically empowered approach leverages Python scripting in

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Beyond Horizons: Mapping the Future with AR, VR, and Boundless Innovation – Part 2

By • • Personal, Project, Public, Research • , , , , , , • 3 minutes of reading

By Shahabuddin Amerudin In the bustling heart of Nusantara, GeoSmart Solutions had transformed into an innovation powerhouse. Ahmad, the visionary System Analyst, was leading a team that had not only revolutionised tree data collection but was now poised to redefine the very landscape of GIS technology. The success of “Geoscape Greens” had unleashed a wave of creativity, propelling the team into uncharted territory. The integration of AR, VR, XR, and MR into the application marked a turning point. As they tinkered with the potential of these technologies, the team realized they were on the cusp of something extraordinary. The world

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Geoscape Greens: A Journey of Innovation and Sustainability – Part 1

By • • Knowledge, Personal, Project • , , , • 3 minutes of reading

By Shahabuddin Amerudin In the vibrant city of Nusantara, nestled between towering skyscrapers and bustling streets, stood the headquarters of GeoSmart Solutions, a leading GIS firm. Among its talented employees was Ahmad, a brilliant System Analyst with a passion for technology, geography, and a penchant for turning ideas into reality. Ahmad was entrusted with leading a remarkable team on an ambitious project: the development of an innovative GIS application that would redefine how tree information was collected, analyzed, and utilized. This application would seamlessly integrate a cloud-based web platform with both iOS and Android mobile devices, enabling users to capture

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GeoAI: Merging Geospatial Data and AI for Enhanced Decision-Making

By • • Knowledge, Public, Research, Teaching • , , • 5 minutes of reading

By Shahabuddin Amerudin Geospatial Artificial Intelligence (GeoAI) is a specialized field that combines geospatial data, which includes geographic information such as location, coordinates, and spatial relationships, with artificial intelligence (AI) techniques to extract valuable insights, patterns, and predictions from spatially referenced data. In essence, GeoAI involves the application of AI algorithms and methodologies to geospatial data to solve complex problems and enhance decision-making in various domains. Key Components of GeoAI Applications of GeoAI Tools and Software Platforms for GeoAI There are several tools and software platforms available for working with GeoAI. These tools offer functionalities for processing, analyzing, visualizing, and

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GeoAI: Unveiling Patterns and Shaping Futures at the Nexus of Geography and Artificial Intelligence

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By Shahabuddin Amerudin Introduction In the contemporary era of technological advancements, the amalgamation of artificial intelligence (AI) with geography has ushered in a revolutionary field known as GeoAI. This interdisciplinary domain leverages the prowess of AI to decode intricate patterns concealed within geospatial data, enabling us to predict, analyze, and respond to a spectrum of events and phenomena. From predicting ecological shifts to deciphering human mobility trends, GeoAI stands as a beacon of innovation that reshapes our perception of the world. In this article, we delve deeper into the essence of GeoAI and its multifaceted applications, bringing to light its

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GIS Applications That Demand Sub-Meter Accuracy

By • • Knowledge, Public, Research, Teaching • , , , , , • 2 minutes of reading

By Shahabuddin Amerudin Sub-meter accuracy is essential for a variety of Geographic Information System (GIS) applications that require precise spatial data collection, mapping, and analysis. Here are some GIS applications that benefit from sub-meter accuracy: While sub-meter accuracy is critical for these applications, it’s important to choose the appropriate level of accuracy based on the specific requirements of the project. In many cases, sub-meter accuracy provides a balance between precision and cost-effectiveness, making it a valuable asset in various GIS applications. Suggestion for Citation: Amerudin, S. (2023). GIS Applications That Demand Sub-Meter Accuracy. [Online] Available at: https://people.utm.my/shahabuddin/?p=6616 (Accessed: 14 August

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Unveiling Spatial Relationships: Predictive Applications of Regression Analysis

By • • Knowledge, Research, Teaching • , , , , , , , • 6 minutes of reading

By Shahabuddin Amerudin Introduction In the realm of data analysis, regression analysis stands as a powerful tool that facilitates the exploration, understanding, and prediction of spatial relationships. By unraveling the intricate connections between variables, it provides insights into the factors driving observed spatial patterns. In this article, we delve into the fascinating world of regression analysis, focusing on its predictive applications through two distinct examples: the prediction of human deaths and the analysis of grave demand. Regression analysis forms the cornerstone of modern statistical analysis, enabling us to move beyond mere correlation and into the realm of causation. As we

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Spatial Analysis Techniques for Unveiling Geographic Patterns and Interactions

By • • Project, Public, Research, Teaching • , , , , , • 5 minutes of reading

By Shahabuddin Amerudin Introduction Spatial analysis is a critical discipline within geography and various other fields that deal with spatial data. It involves the examination of geographic patterns, relationships, and dependencies among data points in a given space. This exploration is crucial for understanding the underlying mechanisms driving spatial phenomena and for making informed decisions in urban planning, environmental management, economics, and various other domains. In this article, we delve into several key techniques of spatial analysis, each offering unique insights into the complex interplay between geographical elements. By exploring methods such as autocorrelation, spatial interpolation, spatial regression, spatial interaction,

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History of Geographic Information Systems (GIS) Development: An Overview

By • • Public, Research, Teaching • , , • 3 minutes of reading

By Shahabuddin Amerudin The development of Geographic Information Systems (GIS) dates back to the 19th century, when the use of geographic information to address complex issues began. In 1832, French geographer Charles Picquet produced an early version of a GIS by creating a map-based representation of cholera spread in Paris using color gradients. This marked the earliest application of spatial analysis in epidemiology. In 1854, English physician John Snow expanded this concept by mapping a cholera outbreak in London and linking it to contaminated water. This illustrated the problem-solving potential of maps in epidemiology. The groundwork laid during this time

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Exploring the Transformative Applications of Artificial Intelligence and Machine Learning in Geospatial Technology

By • • Knowledge, Project, Public, Research, Teaching • , , , , , • 4 minutes of reading

By Shahabuddin Amerudin Abstract Geospatial technology has emerged as a pivotal discipline with far-reaching implications in numerous fields, including environmental science, geography, urban planning, and agriculture. The fusion of Artificial Intelligence (AI) and Machine Learning (ML) with geospatial analysis has ushered in an era of unprecedented advancements, elevating the capabilities of geospatial technology to new heights. This comprehensive academic article delves into the multifaceted applications of AI and ML in geospatial technology, elucidating their roles in land cover mapping, flood prediction and monitoring, precision agriculture, and traffic management. By understanding these innovative applications, readers can contribute meaningfully to the evolution

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Emerging Trends in GIS Software Systems: The Impact of Artificial Intelligence on Environmental Conservation and Resource Management

By • • Knowledge, Project, Public, Research, Teaching • , , , , , , , , • 5 minutes of reading

By Shahabuddin Amerudin Abstract Geographic Information Systems (GIS) play a vital role in environmental conservation and natural resource management. In recent years, the integration of Artificial Intelligence (AI) into GIS software has led to revolutionary advancements, enhancing the capabilities and intelligence of GIS applications. This article explores the emerging trends in GIS software systems that leverage AI technologies, focusing on various aspects such as interaction methods, data visualization, predictive modelling, spatial analysis, real-time decision-making, autonomous data collection, data fusion, precision agriculture, and environmental risk assessment. These trends are transforming the way government agencies and organizations address complex environmental challenges, promoting

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The Evolution of GIS Software 

By • • Knowledge, Public, Research, Teaching • , , , , , , , , • 2 minutes of reading

By Shahabuddin Amerudin The evolution of GIS software has been marked by key milestones and advancements that have shaped the current landscape of geospatial technology: 1. Early Beginnings (1960s-1970s): 2. Mainframe and Early Desktop GIS (1980s-1990s): 3. Introduction of Vector Data Models: 4. Integration of Remote Sensing and GPS (1990s): 5. Web-Based GIS (Late 1990s-2000s): 6. Open Source GIS (2000s): 7. Mobile GIS and Location-Based Services (2000s-2010s): 8. Cloud-Based GIS (2010s): 9. Big Data and Spatial Data Science (2010s): 10. Integration of AI and Machine Learning (Present): The evolution of GIS software has witnessed significant milestones and technological advancements, transforming

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Environmental Conservation and Natural Resource Agencies

By • • Knowledge, Public, Research, Teaching • , , , , , , , • 5 minutes of reading

By Shahabuddin Amerudin Introduction Environmental conservation and the sustainable management of natural resources are crucial components in ensuring the well-being of our planet and future generations. Governments around the world have established specialized agencies dedicated to addressing these critical issues. In this article, we will delve into the operations and activities of the Ministry of Natural Resources, Environment and Climate Change (NRECC) in Malaysia, as well as explore notable international environmental conservation and natural resource agencies. By examining their mandates, activities, and tools, we can gain valuable insights into the diverse approaches taken by different nations to protect our environment.

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