In this course you will learn fundamental theories and concepts in Geographic Information Science. You will also learn how to implement a Geographic Information System using the ArcGIS 10 software package on a Windows XP platform. Some of the topics that will be covered include: data models (raster, vector, TIN), map attribute database analysis, spatial overlay analysis methods, neighborhood analysis methods, interpolation, spatial data integration, error analysis and cartography. Please pay close attention to the website. The site includes: 1) labs, lectures, and data for labs, 2) syllabus, 3) upload site for paperless assignments, 4) updates to lectures, labs and assignments, 5) additional web readings, 6) links to homework scores, 7) list of links to GIS data sites on the Web, and 8) course news. Points will be deducted for late labs and assignments. Points may also be deducted for tardiness, and use of cell phones or other handheld device in class (more below). to buy it. A copy will be put on reserve at Bailey-Howe Library. Supplemental readings are given below under the weekly lecture list or may be added during the semester. Lab attendance is optional IF you have access to an adequate computer and are willing and able to complete the labs as they are scheduled (due dates apply!). In the unlikely event that space constraints make it necessary for some students to work with a partner, each individual is still responsible for submitting completed lab assignments. Lab assignments are posted on the class web site. Due dates are shown at the top of each lab. You turn them in via the upload page on the class web site. Scores will be available via Blackboard. You may use Aiken 101 to work on assignments for this class outside of normal lab hours when no class is meeting in the room. Keep in mind that some updates may be made to the labs during the semester. Updates are given on the lab updates link on the course web site. For labs, that due date will be one week after the designated lab start date (a Tuesday or Thursday, depending on the section for which you are registered), unless otherwise noted in the syllabus. Late lab and homework assignments will lose ½ point per day for each day they are late, maxing out at 5 points per assignment. Attendance is mandatory. Please arrive on time! Coming into class late is disruptive. Any important announcements will be made at the beginning of class. You are responsible for all materials discussed in lecture, including any guest lectures. While lecture slides are usually available in PowerPoint format on the course web site, remember that they are only summary notes and miss much of what is discussed in class. If you do have to miss a lecture, please arrange a time to meet with the instructor to go over what you missed in class. You are encouraged to go to instructor and TA office hours as often as possible. If the posted office hours don’t work for you, please feel free to make an appointment. Acts of academic dishonesty, including plagiarism and cheating, are subject to UVM’s rules of academic integrity. The full policy can be found here: — Note some redundancy here, learn to read actively and efficiently, skimming sections you already understand and material not touched on in class Writing single/multi criteria SQL queries, creating new attributes from old using the calculator, spatial queries: select by location, doing statistics on query selections, integration of Access Selecting by clicking, selecting by graphics, selecting with SQL queries, selecting by location, what can be done with your selection, navigating attribute tables Pre and post-processing basics, supervised vs. unsupervised classification, object-oriented classification, land use mapping, Anderson classification system Source.