GIS Institute Summer 2020

This is a virtual class without in-person attendance. Virtual classroom access links are emailed to all accepted students prior to June 2nd.

GIS Institute Instructors:
    Scott Bell  and  Jill Kelly

Registration Schedule:

1. Application deadline:  
   Friday, March 20, 2020, 11:59 pm (Late applications can join the waitlist.)
2. Notification of acceptance: 
   Friday, April 3, 2020
3. Registration fee due ($100 for Harvard affiliates and $3,150 for others) : 
   Friday, April 17, 2020 (Seat is guaranteed when registration fee is paid)
4. Deadline for meeting with instructors to finalize project/data: 
   Friday, May 8, 2020
5. Institute begins: 
   Tuesday, June 2, 2020
6. Final project presentation: 
   Friday, June 12, 2020

How to Apply:

• For Harvard Affiliates, please submit your application by clicking the GREEN "HARVARD APPLY"  button and following the instructions on the form (HUID login required).
• For Non-Harvard applicants, please submit your application by clicking the BLUE "NON-HARVARD APPLY"  button and following the instructions on the form.

GIS INSTITUTE SCHEDULE (PDF)

DOWNLOADS for GIS INSTITUTE

Day One: Tuesday June 2nd

9:30 am Welcome and Intro to GIS (Intro)

11:00 am Technology Check

12:00 pm Basic ArcGIS Overview (lab instructions)(lab data)(editing legends)

3:00 pm Harvard Map Library

Day Two: Wednesday June 3rd

9:30 am Geocoding and Georeferencing (lecture)

10:30 am Mapping Tabular Data (lecture)(lab instructions ArcMap) (lab instructions Pro) (lab data)

1:00 pm Geocoding & Introduction to the Harvard GGA(lab data) (lecture slides coming soon)

3:00 pm Spatial Analysis 1: Vector Data(lecture)(lab instructions ArcMap) (lab instructions Pro) (lab data)

Day Three: Thursday June 4th

9:30 am Spatial Analysis 2: Raster Data(lecture) (lab instructions ArcMap) (lab instructions Pro) (lab data)

11:00 am 3D Visualization (lecture) (lab data) (demo package).

12:00 pm Georeferencing (lab instructions) (lab data) (wardinfo.xls)(wardinfo.csv)

2:00 pm Spatial Statistics 1: Overview and Exploratory Data Analysis (lecture) (lab instructions) (lab data).

Day Four: Friday June 5th

9:30 am Spatial Statistics 2: Autocorrelation & Regression (lab instructions 2) (lab instructions 3)

1:00 pm Cartography and Data Management(lecture)

(abstract template)  (link to cost distance project)  (cost distance handout) .