Feel free to post a question about the syllabus to the About the syllabus discussion.
[x] Update your ArcGIS Online (AGOL) profile to include a personalized photo or avatar and your areas of special skills (e.g., "I'm good at data vis", "I'm a StoryMap master", or "I literally know how to use Python").
[x] Includes your preferred name (so we know who you are)
[x] Includes the same profile image you used for your AGOL profile (to help us know it's you)
[x] Choose a focus: programming
Programming focus: you already have some experience using Python, so begin your journey by looking at Notebooks, the cloud-based programming environment for solving your geospatial problems
Analysis focus: you are comfortable with ArcGIS Pro and have little to no programming experience, so let's start with what you are comfortable with and learn out how to use ModelBuilder to create reproducible geospatial workflows
[x] Join the GroupMe chat (email your professor your preferred email for GroupMe)
Like a comment or just say "hi"
[x] Log into AGOL and make sure you are a member of the "AdvGIS - Fall 2021" group
[x] I completed the Ice Breaker challenge on the first day of classes
On GitHub
[x] Familiarize yourself with the Markdown syntax (see resources below)
[x] Introduce yourself to the class with a comment on the Welcome Discussion.
[x] (Wait until you hear from your instructor that it's okay to do this) Create a new issue on our repository's Issues, title it with your name (e.g., Davis's Checklist), copy-and-paste The Master Checklist content to the "Write" section, under Assignees: assign yourself, under Labels: checklist. Be sure to note your issue's unique number.
This is your copy of the master checklist
Use it to keep track of your accomplishments as you go through the semester
You may also see how your peers are progressing to judge your own time management
[x] Create your Report Wiki on our repository's Wiki page
This is where you submit your weekly tasks, goals, and accomplishments
See Home page for instructions
The Consultancy
[x] Find a team (in groups of up to three people) to work together
[x] Video (~20 min or less) that summarizes your article (background, methods, and results + your first impressions)
[x] Video (~10 min or less) on data collection or creation (w/ map or visual)
[x] Audio/video (~ 5 min or less) on a geoprocess or challenge you faced
[x] Prepare a publicly accessible progress report for your client meeting
It may be your website, slideshow, StoryMap, or another web-accessible document. Make it clear on your website how / where to access it.
Be sure to include visual aids
Remember that your client is not a GIS expert; tone your report for a lay audience
[x] Schedule a progress report meeting with your client here
[x] Write down your thoughts regarding the experience of working through this project and the client meeting in your weekly report
Copy and paste your response here: I felt this project and client meeting went very smoothly. Our group worked well together and we were able to complete most of the required tasks with little difficulty. We were able to reproduce most of the data with the exception of one map as a result of insufficient parameters from the original paper. The client meeting was a bit nerve-wracking, as it was difficult to prepare a presentation for an audience of GIS non-experts, but we managed to navigate the challenge quite well and explained everything very thoroughly. Overall, the experience of working through this project was very much worthwhile and I am glad I participated.
[x] Rate your paper's level of reproducibility (based on your opinion)
The levels are:
S: satisfactory (methods are clear and reproducible)
M: marginal (it is hard to say because some methods are unclear and/or data are outdated or not readily available)
U: unsatisfactory (there is no known way to reproduce these methods)
Our consultancy gives our paper the rating of M for the following reasons: We give our paper’s level of reproducibility a M. At a first glance, the paper appeared to be reproducible; the tools used to create each map were clearly defined, the maps were simple enough, with one tool used for each, and the data sources were clearly stated. But upon recreation, we ran into issues with tools and data that yielded different results and different looking maps from the original. With all three analyses (the GWR, Hot spot analysis, and cluster analysis), the inputs to the tools were not described, so we used the defaults assuming that the paper would have specified a depart from the default. This produced different results, with the symbology for the maps looking completely different from the original, and the cluster analysis saying it was clustered when the original said it was not. Part of this could be attributed to the outdated software used in the original article (ArcMap), but it is unclear exactly what was different between these tools in ArcPro and ArcMap. Going further, the lack of inputs provided for the regression made it impossible for the GWR to run, and it was unable to be recreated.
Additionally, we had issues with the data collection. The grocery store dataset used in the article had different points now than in 2015, and it was unclear what categories the article considered grocery stores; is a ‘ethnic market’ or ‘convenience store’ a grocery store? Additionally, with the auxiliary roads, the data sources no longer existed and were incredibly hard to find similar results. Although we ultimately found a file that looked the same as the original, it was much harder to find than it should have been.
The Special Works Solutions
Prepare two methodologies for solving one of the special works projects
The special works project should emphasize a skill set that one of the consultants identified as a weakness in the pre-semester survey
Solutions may be typed or recorded
Solution Method 1:
[x] Solved to "basic" level
[x] Solved to "intermediate" level (tick both boxes)
Solution Method 2:
[x] Solved to "basic" level
[x] Solved to "intermediate" level (tick both boxes)
[x] We posted our solutions to our consultancy website
[x] We presented a discussion of our solutions in class or on GitHub
The Novel Datasets
[x] Our consultancy created a novel dataset
[x] in a file geodatabase and/or
[x] in GeoJSON format
[x] We posted a link to our dataset (with a license, description, and relevant metadata) to our consultancy website
[x] We presented a discussion of our dataset (and the methods for its creation) in class or on GitHub
Engagement
[x] Sign up here to schedule to contribute at least once to each of the five weekly topics.
If you are a certificate student, instead sign up for one topic each week.
[x] Question of the week. Date(s): due 9/24
[x] Data share of the week. Date(s): due 10/29
[x] Ethics consideration of the week. Date(s): due 11/12
[x] Vocab term of the week. Date(s): due 12/10
[x] Method of the week. Date(s): due 11/26
[x] Each week, respond to and/or engage with the five weekly discussion posts.
If there is no natural response, then please respond with a reaction to the comment.
[x] I responded to more than five discussion posts on GitHub
[x] I responded to more than ten discussion posts on GitHub
[x] Share a selfie where you are holding or standing next to a physical item within Swem library (e.g., an open book, a painting, or a map) to our GitHub discussion board with a short description of the item and how it relates to a geospatial topic
[x] This includes creating folders and/or updating item names
[x] This includes updating the metadata (summary, description, terms of use, tags, and credits (attribution) appropriately on all shared items (organizationally, publicly or with groups)
[x] I shared a plan on how I organize my AGOL content and/or a system for tagging items in class or on GitHub
Complete at least three (3) hours or six (6) tutorials from one of the following sites: (1) Esri Academy; (2) ArcGIS Developer Guides; (3) Learn ArcGIS; (4) other approved resource (*include names of and links to each tutorial completed)
[x] I grant unrestricted permission to use media (e.g., web content, audio or video) I created for educational purposes
Note that you are not required to tick this box and, at any time, you may request that materials you made for this class be removed from use in past, current, and future classes
Getting Started
On GitHub
The Consultancy
The Reproducibility Project and Client Meeting
The Special Works Solutions
The Novel Datasets
Engagement
Become More Geoethical
Managing Your Data
Getting Started With Notebooks
Additional Practice
Complete at least three (3) hours or six (6) tutorials from one of the following sites: (1) Esri Academy; (2) ArcGIS Developer Guides; (3) Learn ArcGIS; (4) other approved resource (*include names of and links to each tutorial completed)
Final Touches