The "Geospatial Information Technology Essentials" course offers a multi-disciplinary approach, integrating key aspects of both Geospatial and Information Technology. Organized into seven comprehensive modules, it provides a thorough learning experience. Module One introduces the fundamentals of Geographic Information Systems (GIS), covering its applications, hardware requirements, data models, and attribute data types. Module Two delves deeper into GIS concepts, focusing on mapping essentials, data conversion techniques, and georeferencing. In Module Three, learners explore GIS database management, including basics of databases, RDBMS, SQL, and advanced geodatabase management. Module Four covers spatial analysis using GIS, with practical demonstrations of techniques like catchment area delineation, overlay analysis, and viewshed analysis. Module Five provides insights into geospatial IT, including enterprise GIS, web and mobile GIS technologies, and practical case studies. In Module Six, system integrations and decision support are discussed, with a focus on command and control center case studies, decision support systems, and open-source GIS projects. Module Seven introduces future trends in geospatial technologies, highlighting advancements in survey and mapping technologies, spatial analytics, and geointelligence. Join us on this journey into Geospatial Information Technology and equip yourself with the essential skills and knowledge to excel in this dynamic field!
Geospatial Information Technology Essentials
This course is part of Geospatial Techniques for Engineers Specialization
Instructor: Subject Matter Expert
Included with 
Recommended experience
What you'll learn
Learn GIS basics, data models, practical applications, and hardware requirements, with real-world examples and applications.
Master GIS database management, including RDBMS, SQL, and advanced spatial analysis techniques like overlay and cluster analysis.
Explore web and mobile GIS, system integrations, dashboards, and future trends, with hands-on projects and case studies in geospatial technology .
Skills you'll gain
- Proficiency in GIS data conversion and georeferencing
- Fundamental understanding of GIS and geospatial thinking
- Technical expertise in geospatial IT, including web and mobile GIS technologies
- Competence in spatial analysis and database management
- Practical skills in open-source GIS and future trends in geospatial technologies
- Advanced understanding of system integrations, decision support systems, and spatial dashboards
Details to know
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September 2024
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There are 7 modules in this course
This module introduces the fundamentals of Geographic Information Systems (GIS), covering its basic concepts and applications. Learners will explore GIS in action, the hardware used for GIS implementations, and different GIS data models. The module also includes discussions on digital elevation models (DEM), Triangular Irregular Networks (TIN), attribute data types, and their relevance in GIS applications.
What's included
8 videos3 readings1 assignment1 discussion prompt
This module focuses on mapping essentials and practical GIS data conversion techniques. Learners will understand the components and types of maps, and gain hands-on experience in converting data from various formats like Excel and CAD to GIS-compatible formats. The module also covers georeferencing techniques for integrating raster data into GIS applications.
What's included
7 videos1 assignment1 discussion prompt
This module provides a comprehensive overview of GIS database management principles. Learners will explore foundational concepts such as database basics, relational database management systems (RDBMS), and Structured Query Language (SQL) as applied to GIS databases. Advanced topics include the creation and configuration of geodatabases, enterprise geodatabases, and their management in GIS environments.
What's included
6 videos1 assignment1 discussion prompt
This module explores advanced spatial analysis techniques using Geographic Information Systems (GIS). Learners will delve into methods such as catchment area delineation, overlay analysis, cluster analysis, hotspot analysis, and viewshed analysis. Each technique is demonstrated through practical examples to illustrate their application in spatial data analysis.
What's included
6 videos1 assignment1 discussion prompt
This module provides an introduction to Geospatial Information Technology (Geospatial IT) and its components. Learners will explore enterprise GIS systems, web GIS technologies including essentials and application overview, mobile GIS technologies along with their technical stack, and various case studies showcasing the practical applications of Geospatial IT in scenarios like emergency response.
What's included
9 videos1 assignment1 discussion prompt
This module focuses on system integrations and decision support in Geospatial IT. Learners will explore methods for integrating devices into GIS systems, case studies on command & control centers, and the implementation of decision support systems. The module also covers progress and spatial dashboards, highlighting their role in monitoring and reporting spatial data. Additionally, the module introduces open-source GIS technologies and guides learners through creating their own web applications using open-source tools.
What's included
9 videos1 assignment1 discussion prompt
This module explores the evolving landscape of geospatial technologies and their future trends. Learners will examine the benefits realized from geospatial technologies through case studies, advancements in modern surveying and mapping technologies, and emerging trends in spatial analytics and geo-intelligence. The module concludes by discussing future directions and the potential impact of geospatial technologies on various sectors.
What's included
9 videos1 assignment1 discussion prompt
Instructor
Offered by
Recommended if you're interested in Environmental Science and Sustainability
University of Toronto
Universidad de los Andes
University of California, Davis
University of California, Davis
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