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General James Clapper, former United States Director of National Intelligence and the National Geospatial-Intelligence Agency (NGA), once said "everything happens somewhere." He stressed that there are aspects of time and place to every intelligence problem. In this course, you will examine how time and place work with general intelligence techniques to create geospatial intelligence. You will learn and apply critical thinking skills, structured analytical techniques, and other intelligence methods in a geospatial context. You'll also learn how to reduce personal and organizational bias by conducting an Analysis of Competing Hypotheses, by R. Heuer, a 45-year veteran of the CIA. As a result, you will be better prepared for the world of geospatial intelligence analysis.

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In GEOG 489, you will learn advanced applications of Python for developing and customizing GIS software, designing user interfaces, solving complex geoprocessing tasks, and leveraging open source. The course consists of readings, walkthroughs, projects, quizzes, and discussions about advanced GIS programming concepts and techniques, and a final term project. It complements the material covered in GEOG 485: GIS Programming and Customization. Software covered in the course includes: Esri ArcGIS Pro/arcpy, Jupyter Notebook, Esri ArcGIS API for Python, QGIS, GDAL/OGR. Students will also make use of the Git version control software for code management, and learn techniques for distributing Python applications to end users. Learn more

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Maps are powerful visual tools, both for communicating ideas and for facilitating data exploration. In GEOG 486: Cartography and Visualization, you will learn design principles and techniques for creating maps with contemporary mapping tools, including ArcGIS Pro. In this lab-focused course, you’ll apply cartographic theory to practical problems, with a focus on design decisions such as selecting visual variables, classifying and generalizing data, applying principles of color and contrast, and choosing projections for maps. You will also be introduced to future-focused application topics such as augmented and virtual reality, mapping with multivariate glyphs, the visual depiction of uncertainty, interactive geovisualizations and (geo)visual analytics, and decision-making with maps and mapping products. Successful completion of this course will signify mastery in map production for communication and research; you will be practiced in making, analyzing, critiquing, and sharing high-quality maps. Learn more

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How would you like to travel to new places while collaborating on a geospatial data challenge with students from around the world? In this class, students collaborate on a global-scale geospatial analysis problem with a focus on data analytics and professional practice in Geographic Information Systems. Penn State MGIS students collaborate with graduate students from ITC - University of Twente in Enschede, Netherlands to develop solutions to analyze spatio-temporal patterns in refugee migration data. Students have the opportunity to present their work and develop new connections with EU geospatial professionals via site visits to European national mapping agencies. Students work in teams to use geospatial analytics to arrive at a solution to visualize patterns over space and time. Learn more

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Is your understanding of Cloud GIS a bit hazy? Does thinking about it leave you in a fog? We've designed GEOG 865, Cloud and Server GIS, to help you understand how all of the various pieces of architecture fit together. By the end of the class you'll have a clear understanding of esri's and others' offerings in the space, how to implement ArcGIS Enterprise on Amazon EC2, make online maps with Carto and Mapbox, and engage in some blue sky thinking of your own in our weekly discussions about trends and directions. Learn more

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Increasingly volatile climate and weather; vulnerable drinking water supplies; shrinking wildlife habitats; widespread deforestation due to energy and food production. These are examples of environmental challenges that are of critical importance in our world, both in far away places and close to home, and are particularly well suited to inquiry using geographic information systems. In GEOG 487 you will explore topics like these and learn about data and spatial analysis techniques commonly employed in environmental applications. After taking this course you will be equipped with relevant analytical approaches and tools that you can readily apply to your own environmental contexts. Learn more

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“Exploring Imagery and Elevation Data in GIS Applications” (GEOG 480) focuses on the use of remotely sensed imagery and elevation data in GIS applications. Students enrolling in GEOG 480 should have a solid conceptual foundation in geospatial information science and technology. GEOG 480 is appropriate for those who are already working in the geospatial profession and wish to use imagery and elevation data in visualization and spatial analysis. Throughout the course, students confront realistic remote sensing problem scenarios that incorporate such skills and concepts as definition of data needs, metadata content standards, data formats and types, and analysis methods. Learn more

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Do you believe that we can be more creative in planning our communities and protecting environments for a sustainable future? Would you like to learn a method to make a difference? One that empowers stakeholders and reduces conflict? Geodesign delivers creative solutions for environmental, economic, and social issues. This method works collaboratively across disciplines, deploying innovative technology to dynamically illustrate the impacts of alternative design scenarios. Geodesign is rooted in the physical design professions coupled with social and geographic sciences and enhanced by the latest technologies. GEODZ 511 introduces students to the multifaceted, well-proven geodesign framework grounded in a series of key decision-making steps. It emphasizes understanding both people and place through a unique collaborative method. Students learn how to work through the steps of the geodesign framework and begin to understand the process needed to make wise choices for today’s urban and rural design and planning challenges. 

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A good detective or researcher like Sherlock Holmes knows the fundamental questions that need to be answered to gather facts to solve a problem. So how does geospatial intelligence contribute to answering these questions? While geospatial technology is useful in revealing who, what, when, and where events take place, it is less useful in explaining why events occur. However, geospatial intelligence analysis leverages geographic information science and technology with the intelligence tradecraft to develop products that support decision-making in national and homeland security, law enforcement, emergency management, and international relief efforts. GEOG 882 will challenge you to think critically, consider alternative viewpoints, and question your own assumptions when analyzing why human events occur over place and time. Learn more

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In this data rich world, we need to understand how things are organized on the Earth's surface. Those things are represented by spatial data and necessarily depend upon what surrounds them. Spatial statistics provide insights into explaining processes that create patterns in spatial data. In geographical information analysis, spatial statistics such as point pattern analysis, spatial autocorrelation, and spatial interpolation will analyze the spatial patterns, spatial processes, and spatial association that characterize spatial data. Understanding spatial analysis will help you realize what makes spatial data special and why spatial analysis reveals a truth about spatial data. Learn more