Office Hours
+
+
+
+
+
-| Michael Cecil |
-EORS Lab |
+Lyndon Estes |
+Jefferson 201C |
Tuesday 1300-1500 |
-| Arman Bajracharya |
-TA Alley, 105A GEOG building |
-Thursday 1400-1600 |
+Vanchy Li |
+EORS, 1st floor GEOG building |
+Monday and Wednesday 1330-1500 |
@@ -1463,62 +1466,32 @@
Assessment and
Your progress in this class will be assessed as follows:
-
-|
-Component
- |
-
-GEOG246
- |
-
-GEOG346
- |
+
-
-|
-Practical assignments (n=5)
- |
-
-55% of grade
- |
-
-45% of grade
- |
+
+| Practical assignments (n=5) |
+55% of grade |
+45% of grade |
-
-|
-Partcipiation
- |
-
-10% of grade
- |
-
-10% of grade
- |
+
+| Partcipiation |
+10% of grade |
+10% of grade |
-
-|
-Overview for final semester project
- |
-
-10% of grade
- |
-
-15% of grade
- |
+
+| Overview for final semester project |
+10% of grade |
+15% of grade |
-
-|
-Final report on semester project
- |
-
-25% of grade
- |
-
-30% of grade
- |
+
+| Final report on semester project |
+25% of grade |
+30% of grade |
@@ -1528,94 +1501,47 @@
Assessment and
be:
-
-|
- |
-
-GEOG246 hours
- |
-
-GEOG346 hours
- |
+
-
-|
-Class meetings
- |
-
-37
- |
-
-37
- |
+
+| Class meetings |
+37 |
+37 |
-
-|
-Readings
- |
-
-12
- |
-
-14
- |
+
+| Readings |
+12 |
+14 |
-
-|
-Practicals
- |
-
-40
- |
-
-50
- |
+
+| Practicals |
+40 |
+50 |
-
-|
-Semester projects-analysis
- |
-
-65
- |
-
-59
- |
+
+| Semester projects-analysis |
+65 |
+59 |
-
-|
-Semester projects-presentation
- |
-
-10
- |
-
-8
- |
+
+| Semester projects-presentation |
+10 |
+8 |
-
-|
-Semester projects-final report
- |
-
-16
- |
-
-12
- |
+
+| Semester projects-final report |
+16 |
+12 |
-
-|
-Total hours
- |
-
-180
- |
-
-180
- |
+
+| Total hours |
+180 |
+180 |
diff --git a/vignettes/syllabus.Rmd b/vignettes/syllabus.Rmd
index 4e695fd..2e4e8f0 100644
--- a/vignettes/syllabus.Rmd
+++ b/vignettes/syllabus.Rmd
@@ -23,13 +23,13 @@ library(knitr)
Originally developed for statistics, free and open source R is now one of the most widely used programming languages in both industry and academia. Among its many applications, R is increasingly used for geospatial analyses, as evidenced by its growing ecosystem of spatial libraries (covering everything from basic vector and raster manipulation to advanced modeling and image processing), the evolution of classes for representing spatial data, its expanding capacity to interact with and leverage the capabilities of other geospatial libraries (GDAL) and GIS (e.g. GRASS, QGIS, PostGIS, SAGA). Alongside its geospatial capabilities, there has been concurrent development of interactive development environments (IDEs) for R, which facilitate the creation, presentation, and reproducibility of analyses. R has therefore very close to being a one-stop shop for the modern GIScientist. This course will provide students with the skills they need to use R as a GIS. There will be additional emphases on programming, presentation, and reproducibility, which will entail learning to develop R libraries, development of presentations and reports using Rmarkdown, and using version control with github. Students will learn and apply R skills by working on a specific research problem.
## Meeting Time/Place
-- Class: ASEC 304, MW 1615-1730
+ASEC 303, MW 1200-1315
## Office Hours
Instructor | Office | Office hours
---------|------------------|------------------
-Michael Cecil | EORS Lab | Tuesday 1300-1500
-Arman Bajracharya | TA Alley, 105A GEOG building | Thursday 1400-1600
+Lyndon Estes | Jefferson 201C | Tuesday 1300-1500
+Vanchy Li | EORS, 1st floor GEOG building | Monday and Wednesday 1330-1500
## Philosophy
Although our primary focus is learning how to use `R` for geospatial analysis, the course also introduces additional skills and concepts related to ___reproducible___ research.