Knowledge

Exploring the Replacement of Malay Reserve Land in Malaysia: Analysis of Successful and Unsuccessful Cases and the Role of GIS

By • • Knowledge, Personal, Project, Public, Research • , , , • 15 minutes of reading

Replacement of Malay Reserve Land refers to the process of replacing land that has been designated as reserve land for the Malay community with alternative land that can be used for other purposes. This process can occur for a variety of reasons, including the development of infrastructure projects, urbanization, and changes in land use patterns. One of the main reasons for the replacement of Malay Reserve Land is the development of infrastructure projects. These projects, such as highways, airports, and housing developments, often require large tracts of land, and if that land happens to be designated as reserve land for […]

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Assessment of Landslide Vulnerability

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Introduction Assessment of landslide vulnerability involves determining the likelihood that a landslide will occur in a certain area, as well as the potential impact of such an event. This process typically includes the following steps: Identifying the potential landslide hazards in the area, such as steep slopes, areas with a history of landslides, and areas prone to heavy rainfall or erosion. Analyzing the susceptibility of the area to landslides, taking into account factors such as soil type, groundwater conditions, and land use practices. Evaluating the potential impact of a landslide on human and natural resources, such as buildings, infrastructure, and

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Understanding and Managing System Failures: A Study of Real-World Examples

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

If a system is failed, it means that it is not functioning properly or meeting the needs of the users or the organization. As a systems analyst, it would be your responsibility to identify the root cause of the failure and develop a plan to address it. This could involve working with the development team to fix any technical issues, gathering feedback from users to identify areas for improvement, or re-evaluating the system’s requirements and design to ensure that it aligns with the organization’s goals and needs. It may also involve creating and implementing a testing plan to ensure that

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The Role and Responsibilities of a Systems Analyst in Improving Organizational Efficiency

By • • Knowledge, Personal, Project • , • 2 minutes of reading

Working as a systems analyst involves analyzing an organization’s current systems and processes, identifying areas of improvement, and designing and implementing new systems to increase efficiency and effectiveness. This may include developing new software systems, upgrading existing systems, or integrating different systems to work together. Some key responsibilities of a systems analyst include: Gathering and analyzing data on current systems and processes Identifying areas of improvement and potential solutions Communicating with stakeholders to gather requirements and ensure that the new systems will meet their needs Designing and planning new systems or changes to existing systems Collaborating with developers and other

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Hard Skills and Soft Skills in Systems Analysis and Design

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In Systems Analysis and Design, some of the key hard skills needed include: Technical knowledge in areas such as programming languages, database management systems, and software development methodologies. Understanding of system development life cycle (SDLC) models and methodologies, such as Agile, Waterfall, Scrum, etc. Knowledge of system design and modeling techniques, such as use case diagrams, entity-relationship diagrams, data flow diagrams, and class diagrams. Familiarity with project management methodologies, such as the critical path method (CPM) and Gantt charts. Understanding of system testing and quality assurance methodologies. Some of the key soft skills needed include: Strong problem-solving and analytical skills

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Exploring the Subfields of Geoinformation

By • • Knowledge, Personal, Teaching • , , , , • 2 minutes of reading

Some other thought: “Geoinformation” is the overarching term that encompasses all the fields related to the collection, management, analysis, and dissemination of geographic information. Under “Geoinformation”, we have several subfields: Geographic Information Systems (GIS): A system for capturing, storing, analyzing, and displaying geographically referenced information. GIScience (also known as geospatial science or geoinformatics): The scientific study of the principles and methods used in GIS, including geographic concepts, data structures, algorithms, and software used in GIS, as well as the social and ethical implications of GIS technology. Geomatics: The field of study that deals with the measurement, representation, analysis, and management

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Geomatics and Geoinformatics

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Geomatics is a broad field that encompasses a wide range of technologies and techniques, including GIS, remote sensing, surveying, and cartography. It is applied to a variety of fields such as land use planning, natural resource management, environmental monitoring, transportation, and emergency response. Geoinformatics is a field that combines elements of GIS, computer science, and statistics to create new ways of understanding and managing spatial data. It is focused on the use of information science and technology to acquire, process, analyze, and visualize geographic information. In terms of academic ranking, it depends on the specific institution and program. Some institutions

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Geomatics and Land Surveying

By • • Knowledge, Public • , , • 1 minute of reading

Geomatics is the field of study that deals with the measurement, representation, analysis, and management of spatial data. It encompasses a wide range of technologies and techniques, including GIS, remote sensing, surveying, and cartography. It can be applied to a variety of fields such as land use planning, natural resource management, environmental monitoring, transportation, and emergency response. Land surveying, on the other hand, is the measurement and mapping of the land, including its natural and man-made features. It is the process of determining the location of points and the distances, angles, and elevations between them. Land surveying is an important

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An Overview of Geographic Information Systems, GIScience, Geomatics, Geoinformatics, and Geoinformation Technology

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

Geographic Information System (GIS) is a system for capturing, storing, analyzing, and displaying geographically referenced information. This can include data such as maps, satellite imagery, and demographic information. GIS allows users to create, edit, and analyze spatial data and create visual representations such as maps and 3D models. GIScience (also known as geospatial science or geoinformatics) is the scientific study of the principles and methods used in GIS. It encompasses the study of geographic concepts, data structures, algorithms, and software used in GIS, as well as the social and ethical implications of GIS technology. Geomatics is the field of study

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Line Simplification Algorithms in VB.net

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

Here is an example of how the Douglas-Peucker, Visvalingam-Whyatt, and Reumann-Witkam line simplification algorithms can be implemented in VB.net: Douglas-Peucker algorithm: Visvalingam-Whyatt algorithm: Reumann-Witkam algorithm: In these implementations, the input is a list of PointF and the tolerance value is a real number used to define the level of simplification. The output is a simplified version of the input line, represented as a list of PointF. It’s important to note that the above code examples are just a representation of the algorithm and may not be fully functional or optimized for specific use cases. They also may require additional functions

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Line Simplification Algorihtms in Python

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

Here is an example of how the Douglas-Peucker, Visvalingam-Whyatt, and Reumann-Witkam line simplification algorithms can be implemented in Python: Douglas-Peucker algorithm: Visvalingam-Whyatt algorithm: Reumann-Witkam algorithm: In these implementations, the input is a list of points, and the tolerance value is a real number used to define the level of simplification. The output is a simplified version of the input line, represented as a list of points. It’s important to note that these implementations make use of numpy library and they expect the input points to be in the form of numpy array. Also, these codes are just examples and they

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Line Simplification Pseudocodes

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

Line simplification is a process used to reduce the complexity and number of vertices in a polyline or polygon while preserving its overall shape and general characteristics. This can be useful for a variety of applications, including cartography, GIS, and computer graphics. There are several algorithms that can be used for line simplification, including the Douglas-Peucker algorithm, the Visvalingam-Whyatt algorithm, and the Reumann-Witkam algorithm. Pseudocode is a way to describe an algorithm using a combination of natural language and programming constructs. It is often used to describe algorithms in a way that is easy to understand for both programmers and

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