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<h2>GIS/MEA 582 Course Syllabus</h2>
<h3>Course Title and Description</h3>
<b>Geospatial Modeling</b>, a 3 credit course, explains digital representation and analysis of geospatial
phenomena and provides foundations in methods and algorithms used in
GIS analysis. Special focus is on terrain modeling,
geomorphometry, watershed analysis and introductory GIS-based
modeling of landscape processes (water, sediment).
The course includes analysis from lidar data, coastal change assessment and 3D visualization.
<p>
See <a href="lectures/about.html">slides</a>
and <a href="https://youtu.be/fIfxZ9q32tw">video</a>
which introduce the course in more depth.
<h3>Instructor</h3>
<!--
Corey White, see C.T. White's
<a href="https://cnr.ncsu.edu/geospatial/people/corey-white/">CGA page</a>
<a href="https://scholar.google.com/citations?user=PQIUwlcAAAAJ&hl=en">Google Scholar</a>
-->
Helena Mitasova, see her
<a href="https://meas.sciences.ncsu.edu/people/hmitaso/">MEAS page</a>
<!-- and <a href="https://fatra.cnr.ncsu.edu/~hmitaso/">home page</a>. -->
<table>
<tbody>
<tr>
<td>Office hours:</td>
<td>by appointment, please email to hmitaso@ncsu.edu</td>
</tr>
<!--<tr>
<td>Appointment:</td>
<td>please always make an appointment by email</td>
</tr>
<tr>
<td>Email:</td>
<td>ctwhite@ncsu.edu</td>
</tr>
<tr>
<td>Office:</td>
<td>2127 Jordan hall</td>
</tr> -->
</tbody>
</table>
<!-- <p>
<a href="https://cnr.ncsu.edu/geospatial/people/vaclav-petras/">Vaclav Petras</a>,
<a href="https://cnr.ncsu.edu/geospatial/people/anna-petrasova/">Anna Petrasova</a>
<table>
<tbody>
<tr>
<td>Office hours:</td>
<td>Tuesday and Thursday 3:00 - 5:00pm, other days are fine too but send email</td>
</tr>
<tr>
<td>Email:</td>
<td>vpetras@ncsu.edu, akratoc@ncsu.edu</td>
</tr>
<tr>
<td>Office:</td>
<td>5111 Jordan Hall</td>
</tr>
</tbody>
</table>
</p> -->
<h3>Prerequisites</h3>
Knowledge of GIS principles at an introductory level or strong computational background is recommended.
<!--GIS280 Introduction to GIS, GIS510 Fundamentals of GIST, GIS520 Spatial Problem Solving
or GIS530 Spatial Data Foundations are recommended.-->
<h3>Class structure and educational approach</h3>
This course consists of lectures, readings,
hands-on exercises, homework assignments, and a major
project.
<p>
GIS/MEA582-001 sections are on-campus, face-to-face class sessions.
<br>GIS/MEA582-601 sections are asynchronous with materials available on-line.
<h3>Schedule and Learning materials</h3>
<!--See the course <a href="./topics/course_intro.html">Introduction</a>-->
<ul>
<li>
<a href="https://ncsu-geoforall-lab.github.io/geospatial-modeling-course/schedule.html">Course Schedule</a> web page provides links to the weekly topics material
(lectures, assignments) along with due dates and suggested project activities.
<li>
<a class="term-changes" href="https://moodle-courses2425.wolfware.ncsu.edu/course/view.php?id=1183">
Moodle</a> is used to access the recorded videos, upload your assignments, read our feedback, post your questions to forum and discuss your projects.
<li>
<a href="https://ncsu-geoforall-lab.github.io/geospatial-modeling-course/logistics.html">
Course logistics</a>
web page provides links to software (GRASS GIS and ArcGIS Pro) and data used in the assignments and
describes the structure of assignment papers.
</ul>
<h4>Textbooks</h4>
No required textbook, on-line material is used.
You may find the following titles helpful for some topics:
<ul>
<li>
Neteler, M. and Mitasova, H., 2008, Open Source GIS: A GRASS GIS Approach. Third Edition.
Springer New York Inc, p. 406. Available free as e-book through NCSU library,
click on eBook link on the <a href="https://www.grassbook.org/">grassbook website</a>
from a computer registered at NCSU.
</li>
<li>
Smith, Goodchild, and Longley:
<a href="https://www.spatialanalysisonline.com/">Geospatial Analysis (free access)</a>
</li>
<!--<li> <a href="https://gis4geomorphology.com/">GIS 4 Geomorphology</a>-->
<li>
Hengl, T. and Reuter, H. I., 2008,
<a href="https://www.elsevier.com/books/geomorphometry/hengl/978-0-12-374345-9">Geomorphometry: Concepts, Software, Applications,</a>
Elsevier, and a related <a href="https://geomorphometry.org/">web site</a>,
<a href="https://ebookcentral.proquest.com/lib/ncsu/detail.action?docID=365603">get free access through NCSU Library</a>
</li>
<li>Wilson, John P. 2018. <a href="https://onlinelibrary-wiley-com.prox.lib.ncsu.edu/doi/book/10.1002/9781118938188">
Environmental applications of digital terrain modelling</a>. 2018 John Wiley & Sons Ltd</li>
<li>
Petrasova A, Harmon B, Petras V, Tabrizian P, Mitasova H., 2018,
<a href="https://link.springer.com/book/10.1007%2F978-3-319-89303-7">Tangible Modeling with Open Source GIS.</a>
Second edition. Springer International Publishing.
<a href="https://link-springer-com.prox.lib.ncsu.edu/book/10.1007/978-3-319-89303-7">Available free as e-book</a> through NCSU library.
</li>
<!--
<li> <a href="https://www.colorado.edu/geography/gcraft/notes/notes.html"> GIS and the Geographer's Craft</a>
<li>
<a href="https://www.innovativegis.com/basis/MapAnalysis/Default.htm"> Berry, J.K., Beyond Mapping III</a> <br>
<li>
Chang, K., 2009, Introduction to GIS, Fifth Edition, McGraw-Hill.
</li>
-->
</ul>
<h3>Grading policy</h3>
40% homeworks, 20% midterm, 40% project.
100 points is the maximum number of points (total + extra credits) achieved in class.
Extra credits are given for innovative solutions,
creativity in problem solving and extensions to given tasks.
Points are taken off for late submissions.
<table>
<tr><th>Grade</th><th>Course and each HW</th></tr>
<tr><td>Max</td><td>100</td></tr>
<tr><td>A+</td><td>97</td></tr>
<tr><td>A</td><td>93</td></tr>
<tr><td>A-</td><td>90</td></tr>
<tr><td>B+</td><td>87</td></tr>
<tr><td>B</td><td>83</td></tr>
<tr><td>B-</td><td>80</td></tr>
<tr><td>C+</td><td>77</td></tr>
<tr><td>C</td><td>73</td></tr>
</table>
<h3>Topics</h3>
<ul>
<li><a href="https://ncsu-geoforall-lab.github.io/geospatial-modeling-course/topics/data_intro.html">
<b>Geospatial Data Acquisition. Open Source GIS</b></a>
<ul>
<li>mapping natural phenomena
<li>coordinate reference system, projections, transformations</li>
<li>introduction to open source concepts</li>
<!--
<li>data repositories, interpreting metadata, evaluating the data, accuracy, uncertainty, scale</li>
<li>essentials in attribute management: import and assignement of attributes,
relational and object oriented geodatabase, structured query language (SQL) basics</li>
-->
</ul></li>
<li>
<a href="https://ncsu-geoforall-lab.github.io/geospatial-modeling-course/topics/data_models_visu.html">
<b>Geospatial Data Models and Visualization</b></a>
<ul>
<li>concept of continuous fields and discrete sampling</li>
<li>raster and vector data representation, raster-vector conversions and resampling</li>
<li>geospatial formats, conversions, geospatial data abstraction library</li>
<li>display of continuous and discrete data, use of color to extract spatial patterns</li>
<li>3D visualization: single and multiple surfaces</li>
<li>visualization for data analysis (lighting, zscaling, transparency,
cutting planes, animations)</li>
<!-- <li>view/create maps/post your data on-line (Google Earth/Maps, GPS visualizer)</li>-->
</ul></li>
<li><a href="https://ncsu-geoforall-lab.github.io/geospatial-modeling-course/topics/raster_analysis.html">
<b>Geospatial Analysis</b></a>
<ul>
<li>foundations for analysis of continuous and discrete phenomena</li>
<li>zonal and neighborhood operations</li>
<li>analysis and modeling with map algebra</li>
<li>proximity analysis and buffers
<li>cost surfaces and least cost path</li>
</ul></li>
<li><a href="https://ncsu-geoforall-lab.github.io/geospatial-modeling-course/topics/spatial_interpolation.html">
<b>Spatial interpolation and approximation (gridding)</b></a></li>
<ul>
<li>definitions, principles and applications of spatial interpolation
<li>selected methods and their properties
<li>smoothing spline interpolation
<li>evaluating interpolation accuracy
<li>trivariate interpolation of volumes and topo-climatology
</ul>
<li><a href="https://ncsu-geoforall-lab.github.io/geospatial-modeling-course/topics/geomorphometry_basics.html">
<b>Geomorphometry: Terrain Modeling and Analysis</b></a>
<ul>
<li> terrain and bathymetry mapping</li>
<li> digital representations (point clouds, contour, raster, TIN)</li>
<!-- <li> resolution, scale, accuracy, uncertainty</li>-->
<li> DEM, DTM and DSM, working with multiple return lidar data</li>
<li> basic topographic analysis: slope, aspect and curvatures
<li> mapping landforms and terrain features
<li> time series of elevation data, analysis of coastal change</li>
</ul></li>
<li><a href="https://ncsu-geoforall-lab.github.io/geospatial-modeling-course/topics/viewsheds_solar.html">
<b>Viewsheds and solar irradiation</b></a>
<ul>
<li>line of sight, viewshed and cumulative viewshed analysis
<li>solar radiation: components and dynamics
<li>solar irradiation in complex terrain, cast shadows
</ul>
<li><a href="https://ncsu-geoforall-lab.github.io/geospatial-modeling-course/topics/flow_modeling.html">
<b>Flow Modeling and Watershed Analysis</b></a>
<ul>
<li>methods for flow routing and flowaccumulation</li>
<li>extraction of stream networks and watershed boundaries from DTM</li>
<li>introduction to GIS-based modeling of geospatial processes</li>
<li>basic hydrologic and erosion modeling</li>
</ul></li>
<li><b>Project</b></li>
<!--
<ul>
<li>compare the runoff and peak flow before, during and after NCSU golf construction,
analyze changes in its spatial pattern and discuss consequences</li>
<li>estimate sediment produced by the golf course development with and without phased
construction</li>
<li>estimate coastal erosion over past 10 years and compare with the official rates</li>
<li>find optimal locations for solar energy production in a given area (compare coast
and Wake county)</li>
<li>design webcam and surface water monitoring for a given watershed (runoff, viewshed
analysis)</li>
</ul>
-->
</ul>
<!-- this is a properly used hr tag -->
<hr>
<dl>
<dt>Academic integrity</dt>
<dd>
<a href="https://studentconduct.dasa.ncsu.edu/academic-integrity-overview/">Overview</a>,
<a href="https://policies.ncsu.edu/policy/pol-11-35-01"> Code of Student Conduct</a>
</dd>
<dt>Attendance policy</dt>
<dd>
in on-campus section, attendance is recommended.
<!-- see also
<a href="https://policies.ncsu.edu/regulation/reg-02-20-03">
attendance regulations and university definitions of excused absences</a>
https://www.ncsu.edu/policies/academic_affairs/pols_regs/REG205.00.4.php">-->
</dd>
<dt>Accommodation of students with disabilities</dt>
<dd>
<a href="https://dso.dasa.ncsu.edu/">Disability Services Office</a>
<!--<a href="https://www.ncsu.edu/provost/offices/affirm_action/dss/">
The university provisions and policies for disabled students</a>-->
</dd>
<dt>Large Language Model (LLM) (i.e., ChatGPT, Bard, etc..) policy</dt>
<dd>
The use of LLMs in this course is permitted for the purposes of completing assignments and projects.
However, the use of LLMs for the purposes of completing exams is strictly prohibited. Students are also required
to cite the use of LLMs in their assignments and projects. Failure to do so will result in a violation of the
courses academic integrity policy.
Students are also to be aware that the use of LLMs in this course is not a substitute for learning the material.
Assignments and projects must be properly cited and contain no plagerized materials.
(The policy was created with the aid GitHub CoPilot)
<!-- <a href="https://dso.dasa.ncsu.edu/">Disability Services Office</a> -->
<!--<a href="https://www.ncsu.edu/provost/offices/affirm_action/dss/">
The university provisions and policies for disabled students</a>-->
</dd>
</dl>
<hr>
<h3>For non-NCSU visitors</h3>
This course material is open and is often used by people outside NCSU.
Note that although we are trying to have maximum of our resources open,
some linked material like online library resources and virtual computing lab
are accessible only to people at NCSU. However, GRASS GIS and the dataset
used in the assignments are available to anybody under and open license.
The most useful page for an outside visitor is the
<a href="grass/index.html">list of GRASS GIS assignments</a>.