Designed for managers who may be new to supervising GIS projects. Topics covered include defining the scope of a project; data acquisition; project planning; project budget estimation; staffing; pilot studies; cooperative projects. Case studies.
Notes
Course fee $395
Learning Mode
Online synchronous
Class meets entirely online at scheduled days/times.
ArcGIS Online is a cloud-based web mapping platform used across multiple industries and by GIS professionals worldwide. It enables you to make maps, host data, create various mapping applications, and share your data with anyone who has internet access. Web GIS is becoming the cornerstone of sharing GIS data and map distribution. In this course you will learn the fundamental terminology and capabilities of ArcGIS Online. We will review the various data types, web map configurations, mobile data collection, sharing security model, and various desktop web applications. ArcGIS Online is becoming an industry standard for sharing and creating data, GIS students who would like to expand their knowledge of GIS should take advantage of this course.
Notes
Course fee $395
Learning Mode
Online synchronous
Class meets entirely online at scheduled days/times.
This course builds upon skills learned in previous GIS courses, emphasizing common uses of GIS for ecological analysis. Class lectures and labs will familiarize students with ecological data sources and potential data issues, and cover a variety of ecological GIS applications such as species distribution mapping, habitat suitability modeling, corridor analysis, and invasive species mapping.
Notes
Course fee $395
Learning Mode
Online synchronous
Class meets entirely online at scheduled days/times.
This course is a discussion and demonstration of the essential cartographic principles and practices used for designing maps. The focus is on techniques for creating maps that effectively communicate single/multi-variant qualitative and quantitative spatial data to the viewer. Through numerous hands-on exercises, participants will have the opportunity to use most of the map production tools provided with ESRI software products to prepare raw data and produce a variety of thematic maps. Class format: approximately 50% lecture, 50% software application.
Notes
Course fee $395
Learning Mode
Online synchronous
Class meets entirely online at scheduled days/times.
An introduction to LiDAR data and derived digital models. Emphasis is placed on creating surface models from point cloud data and integrating spectral data and object based image analysis for vegetation classification.
Notes
Course fee $395
Learning Mode
In-Person
Class meets in-person at scheduled days/times.
Collection of imagery with drone-mounted cameras and processing into georeferenced imagery and 3D models using photogrammetric and image analysis methods in Pix4D and ArcGIS. For 2D mapping, the focus is on multispectral imagery increasingly used for precision agriculture and biogeographic analysis; vegetation health indices such as the normalized difference vegetation index will be derived. For 3D mapping we'll primarily use color imagery for capturing landform features such as hillslopes, gullies and landslides, but also features and structures in the built environment. We'll also explore methods of capturing and processing ground control points for georeferencing and accuracy checking.
Notes
Course fee $395
Learning Mode
In-Person
Class meets in-person at scheduled days/times.
Methods for incorporating GPS field research data into a GIS project, and field data collection with GPS data loggers will be explored. Data preprocessing and conversion methods for use with Arc Info and ArcView will be discussed. Applications in natural and cultural resource inventories, transportation analyses, ecological studies, or atmospheric and hydrologic process studies.
Notes
Course fee $395
Learning Mode
In-Person
Class meets in-person at scheduled days/times.
Refund Information
Refund Code
Full Refund
75% Refund
No Refund
CEL_1
Class dropped one day prior to class start day
N/A
Class dropped on or beyond class start day
CEL_1SUM
Class dropped one day prior to class start day
N/A
Class dropped on or beyond class start day
CEL_2
Spring 2024: Class dropped one day prior to class start day
Spring 2024: Class dropped on class start day
Spring 2024: Class dropped beyond class start day
CEL_2SUM
Class dropped one day prior to class start day
Class dropped on class start day
Class dropped beyond class start day
CEL_ACSL
Spring 2024: Class dropped on or before February 16
Spring 2024: N/A
Spring 2024: Class dropped on February 17 and beyond