This provides consistent method of data entry, update, deletion, and retrieval.
Spatial Analysis and Modeling 2 days, 1. Introduction to Geographic Information Systems Geog or equivalent. This course will focus on many of the vector-based analytical tools and techniques available within ArcGIS, as well as ways of linking external analytical tools models, statistical programs to ArcGIS.
Case studies will be used to illustrate more complex examples. Scientific Visualization in GIS 2 days, 1. Topics covered include terrain analysis, landscape evolution, and change through time. GIS Programming with Python 2 days, 1.
Students will learn to create geoprocessing tools that can be combined with other tools, in models and the toolbox, to process complex analysis tasks and automate repetitive data maintenance needs.
Scripting with Python is emphasized as the appropriate technology for getting GIS work done by users, and is compatible with ArcGIS modules and all current geospatial data structures: Students need no prior programming experience.
Jerry Davis Geog Marine conservation and management issues are multifaceted and require an interdisciplinary approach to understand complex spatial patterns and processes.
The approach used when integrating spatial ecology, GIS geographic information systems and remote sensing provides a strong framework to assist in understanding and addressing complex problems at sea.
This intensive applied course focuses on using GIS for spatial analysis to help students develop critical-thinking and problem-solving skills needed to tackle interdisciplinary coastal issues.
Covered topics include an introduction to marine remote sensing, spatially predictive mapping, ecosystem service modeling and spatial analysis. Fundamental knowledge of geospatial analysis theory and tools is required, as outlined in the prerequisites above.
At the end of the course, students will be able to develop their own coastal and marine spatial question s and design a proposed project using one of the advanced GIS skills learned during the lab section of the course.
Watershed GIS 2 days, 1. This course explores GIS methods used to study and manage watersheds, with a focus on their hydrologic and geomorphic systems - from upland source areas to the stream channels that transport their runoff and provide habitat for riparian species.
The course begins with a brief exploration of the nature and processes of watersheds and drainage systems. GIS support for watersheds includes not only spatial analysis and map development, but also field map generation and the creation of graphical products e.
GIS tools will be applied to problems of hillslope runoff and soil erosion prediction, interpretation of historical and current runoff-discharge relationships, and modeling the effects of changing land use.
GIS in Crime Analysis 2 days, 1. This course explores the practical issues surrounding spatial aspects of crime. Day one provides a basic introduction to GIS software, spatial data used for crime mapping, entering and manipulating data, and basic fundamentals of map making.
Day two introduces basic analysis techniques, including proximity analysis, spatial distribution analysis, distance analysis, and more advanced topics such as hot spot analysis, density mapping, and spatial dispersion mapping.
Spatial Analysis of Public Health Data 2 days, 1. This course introduces the use of geographic information systems in the analysis of public health data. Day one introduces basic GIS operations such as buffering, layering, spatial queries, introductory cartography and spatial statistics.
Day two progresses to public health applications including site selection, assessment of spatial pattern of disease locations and disease rates, spatial interpolation of exposures, and environmental justice assessments. In addition, recent computational advances for applying these methods will also be reviewed.
The course introduces students to the geoprocessing framework tools, scripts and modelsand will focus on model use not just for advanced analysis, but also for common repetitive tasks related to managing GIS data. Building a Geodatabase 2 days, 1.
The geodatabase is ESRI's newest data model.
The model vastly improves the accuracy and integrity of spatial data through key advantages that allow you to assign behaviors to individual features, define relationships between classes of features, apply high-level topological models, and network editing.
This course serves as an introduction to personal geodatabase concepts and illustrates how to implement geographic database designs. Building a new geodatabase, feature data set, feature class, and table Populate a geodatabase with GIS data Adding behavior to your features by creating subtypes and validation rules Migrating existing GIS data into a geodatabase Setting up relationships between objects Applying topology rules to improve data accuracy Using network analysis for path searching, flow tracing etc.Topics include the structure and integration of large data sets, relational database management, development of spatial data, integration of data into models and geoprocessing techniques, and basic scripting to support geospatial modeling.
The spaghetti data model was one of the first conceptual models to structure features in a GIS. It was a simple GIS model where lines may cross without intersecting or topology without attributes.
It was a simple GIS model where lines may cross without intersecting or topology without attributes. GIS data modeling; introductory and advanced spatial SQL (structured query language); spatial database management system (DBMS) server setup, management and maintenance; spatial DBMS design, implementation, tuning, performance analysis and indexing; connecting spatial data services and warehouses to GIS software.
(cited from Wikipedia) The Sensor Web is a type of sensor network or geographic information system (GIS) that is especially well suited for environmental monitoring and control. The course covers advanced basics of spatial information systems, such as acquisition, organization, analysis and presentation of spatial data.
The topics include digital terrain models, building models and 3D city models as well as GIS in the context of planning. To provide participants with the working knowledge required in the acquisition, preparation and management of geospatial data.
To develop a core of trained GIS/LIS personnel who can provide support for GIS/LIS projects throughout the Caribbean.