Knowledge

Predicting Property Investment Opportunities in an Emerging Urban Neighborhood

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

By Shahabuddin Amerudin Introduction You are a real estate investor looking to identify promising property investment opportunities in an emerging urban neighborhood. To make informed decisions on whether to invest in land, shops, or houses, you need to predict their potential future value and assess their investment viability. This scenario explores how to predict property investment opportunities in such a dynamic urban environment. Defining the Objective The objective is to predict the future value and investment potential of properties in the urban neighborhood over the next five years. This includes forecasting property values and assessing the expected return on investment […]

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Predicting House Demand with Spatial Considerations in a Growing Suburb

• • 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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Mastering Forecasting: Techniques for Predicting Condition Fulfillment and Target Achievement

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

By Shahabuddin Amerudin Introduction In today’s data-driven world, forecasting has become a cornerstone of decision-making. Whether it’s predicting the fulfillment of a specific condition or meeting a target, the ability to make accurate predictions is a critical skill. This article delves deep into the art of forecasting, focusing on conditions and targets, and explores various methodologies with real-world examples to illustrate their effectiveness. Defining the Objective Every successful forecasting project begins with a clearly defined objective. Consider a retail store aiming to forecast whether they will meet their monthly sales target. In this scenario, the objective is straightforward: predict whether

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Sociodemographic Patterns of Convicted Bribe Givers and Solicitors: Unveiling Racial Disparities

• • Knowledge, Public • , , , • 5 minutes of reading

Introduction Corruption, a persistent challenge in many societies, corrodes trust in institutions and undermines the rule of law. A deeper understanding of the dynamics behind corruption can provide insights into the factors driving this illicit activity. This article delves into the sociodemographic characteristics of convicted bribe givers and bribe solicitors, shedding light on the racial disparities that emerge from the data. Understanding Bribery Bribery involves the exchange of something valuable, often money or gifts, to influence the actions or decisions of individuals in positions of power. The two main players in this illicit activity are the bribe givers, who offer

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A Glimpse into the Past: Reviewing the Early Career of Bill Gates and Its Contemporary Relevance

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

In the early 1970s, a young and driven individual named William H. Gates had his sights set on the rapidly evolving world of computer systems and programming. His resurfaced job application provides a fascinating snapshot of his aspirations, achievements, and experiences during that era. Known as Bill Gates, he later became the co-founder of Microsoft and a renowned philanthropist. He briefly attended Harvard University before dropping out to pursue the development of Microsoft. As we delve into this historical document, we gain insights into the foundation of a career that would ultimately reshape the technology landscape and inspire generations of

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

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

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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Train PhD Students to Be Thinkers, Not Just Specialists

• • Knowledge, Personal, Research • , , , • 3 minutes of reading

By Shahabuddin Amerudin Introduction The pursuit of a doctoral degree has long been associated with the idea of becoming an expert in a specific field of study. While specialization is undoubtedly crucial for advancing knowledge and innovation, there is a growing concern that many doctoral programs prioritize producing narrow specialists rather than fostering critical thinkers. Gundula Bosch argues that it’s time for a shift in the approach to training PhD students – a shift that emphasizes cultivating holistic thinking and the ability to apply knowledge across disciplines. This article delves into the importance of training PhD students to be thinkers,

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

• • 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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Mengupas Hubungan Antara Kelas Pendapatan dan Kos Sara Hidup: Cabaran dalam Realiti Sosioekonomi

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Pengenalan Kelas pendapatan dan kos sara hidup adalah dua aspek yang tidak dapat dipisahkan dalam landskap ekonomi dan sosial masyarakat. Dalam dunia yang semakin kompleks, perbincangan mengenai bagaimana kelas pendapatan mempengaruhi kesesuaian untuk memenuhi kos sara hidup telah menjadi subjek yang semakin relevan dan mendalam. Artikel ini akan mengupas hubungan yang kompleks antara kelas pendapatan dan kos sara hidup serta menggariskan cabaran yang berkaitan dalam realiti sosioekonomi. Kelas Pendapatan: Pemahaman Awal Kelas pendapatan merujuk kepada pembahagian masyarakat ke dalam kategori-kategori berdasarkan pendapatan mereka. Kelas pendapatan ini biasanya digunakan oleh kerajaan atau pihak berkuasa untuk mengkategorikan pendapatan rakyat mengikut julat tertentu.

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Navigating Roundabouts in Malaysia

• • Knowledge, Public • , , , • 2 minutes of reading

In Malaysia, as in many countries that drive on the left side of the road, the rules for navigating a roundabout are akin to those in similar driving environments. Referring to the diagram above depicting the roundabout junction, the following instructions apply to drivers (blue and green cars, respectively): General roundabout tips for drivers in Malaysia: Remember that local traffic rules and regulations can change, so it’s always a good idea to stay up-to-date with the latest driving guidelines in Malaysia. If you’re unsure about how to navigate a specific roundabout, you should follow the signage and markings present at

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Chemical Leak Management: Predictive Modelling Techniques using GIS

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

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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Chemical Leak at Idemitsu Plant in Pasir Gudang, Johor – Safety Measures and Hazards

• • Knowledge, Public, Research • , , , , , , , • 3 minutes of reading

By Shahabuddin Amerudin Incident Alert: Chemical Leak at Idemitsu Plant in Pasir Gudang, Johor – Safety Measures and Hazards Introduction A recent chemical leak incident at the Idemitsu (M) Sdn Bhd plant in Pasir Gudang, Johor, Malaysia, has raised concerns about safety and potential hazards. This article provides a comprehensive overview of the incident, details about the hazardous chemical involved, its distribution, and essential safety precautions for the local community. Incident Details On August 23, 2023, at approximately 5:21:54 PM, an emergency call reporting a chemical leak was received by the State Operations Center (PGO) in Johor. The incident occurred

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Choosing Between Web-Based Applications and Native Mobile Apps

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By Shahabuddin Amerudin In the dynamic landscape of digital development, the choice between adopting web-based applications and native mobile apps has emerged as a pivotal decision for businesses and developers alike. The path chosen significantly influences user experience, functionality, accessibility, and long-term success. In this article, we delve into the intricate nuances of this decision, exploring in depth the benefits and drawbacks of both web-based applications and native mobile apps. Web-Based Applications: Unleashing the Power of Platform Independence Web-based applications have gained traction due to their inherent cross-platform compatibility and seamless accessibility. These applications, accessible through web browsers, transcend device

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Mengatasi Masalah Pengurusan Tanah Perkuburan melalui Inovasi Teknologi

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

Oleh Shahabuddin Amerudin Dalam era globalisasi dan kemajuan teknologi yang kian pesat, sektor pengurusan tanah perkuburan menghadapi pelbagai cabaran yang semakin kompleks. Keperluan untuk menangani masalah pengurusan dan aksesibiliti tanah perkuburan dalam masyarakat yang terus berkembang menjadi isu yang semakin mendesak. Di sinilah pentingnya inovasi dan penerapan teknologi dalam menyediakan solusi kepada cabaran ini. Artikel ini membincangkan kepentingan Laman Web Tanah Perkuburan Islam Kampung Melayu Kangkar Pulai (https://kppusara.kstutm.com) sebagai satu contoh terbaik dalam mengatasi masalah-masalah ini melalui pendekatan yang cekap dan berkesan. 1. Konteks Masalah dalam Pengurusan Tanah Perkuburan Dalam konteks masyarakat yang berkembang pesat, aspek pengurusan tanah perkuburan tidak

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Belajar lain kerja pulak lain

• • Knowledge, Personal, Public • , , , , , • 2 minutes of reading

Keputusan untuk belajar kursus tertentu di universiti tetapi kemudian bekerja dalam bidang yang tidak berkaitan dan berhutang adalah situasi yang kompleks dan boleh mencetuskan pelbagai isu. Di bawah ini adalah beberapa aspek yang perlu dipertimbangkan: Pilihan Kursus Universiti Keputusan memilih kursus di universiti merupakan langkah awal penting dalam membentuk kerjaya. Sekiranya seseorang memilih kursus yang tidak sejajar dengan pekerjaan yang beliau diperolehi, ini boleh mencerminkan ketidakselarasan dalam matlamat dan minat seseorang. Penting untuk membuat kajian yang mendalam dan memilih kursus yang sesuai dengan aspirasi dan kebolehan. Kerja Tidak Berkaitan Mungkin ada sebab-sebab tertentu mengapa seseorang berakhir bekerja dalam bidang yang

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Unveiling the Power of Geospatial Artificial Intelligence (GeoAI) and its Applications

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

By Shahabuddin Amerudin Introduction The term Geospatial Artificial Intelligence (GeoAI) lacks a universally agreed-upon definition. Initially, GeoAI referred to the utilisation of machine learning tools within Geographic Information Systems (GISs) to predict future scenarios by classifying data. This included disaster occurrence, human health epidemiology, and ecosystem evolution, aimed at bolstering community resilience through traditional geographic information in digital cartography (Esri, 2018). A broader interpretation considers GeoAI as processing Geospatial Big Data (GBD) encompassing various sources, such as digital cartography, remote-sensing-based multidimensional data, and georeferenced texts. The focal point is the geographic dimension (Janowicz et al., 2019. Thus, GeoAI merges AI

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Navigating the Expansive Horizon of Spatial Data Science

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

By Shahabuddin Amerudin Abstract In recent times, the realm of spatial data science has witnessed an unprecedented surge, propelled by the exponential growth of spatial data and its potential applications across diverse domains. This review article delves into the multifaceted world of spatial data science, spanning its foundational principles, practical applications, inherent challenges, and the evolving research trends that are shaping its trajectory. By exploring the intricate interplay of spatial data, complexities, and novel methodologies, this review aims to provide a holistic understanding of this dynamic and interdisciplinary field. Unveiling the Essence of Spatial Data Science The advent of the

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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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Unlocking Textual Insights: The Power and Applications of Named Entity Recognition (NER)

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By Shahabuddin Amerudin Named Entity Recognition (NER), often referred to as entity chunking, extraction, or identification, is a vital process in the realm of Natural Language Processing (NLP). It revolves around the identification and classification of crucial information, known as entities, within text. These entities can be single words or phrases consistently referring to the same concept. Through NER, we can automatically categorize these entities into predetermined classes, such as “Person,” “Organization,” “Time,” “Location,” and more. This computational feat yields valuable insights from extensive textual data and finds its application across a plethora of scenarios. The Mechanism Behind NER NER

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Simplifying Automated Building Footprint Extraction with Deep Learning in GIS

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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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