Friday, April 21, 2017

Final GIS Portfolio Tyler Kobryn

http://students.uwf.edu/tk38/GISPortfolioTK.pdf

This is the final blog post for my GIS Certification from the University of West Florida. This has been a challenging and engaging class that has taught me more than I could have ever learned on my own about the basics and the uses of GIS in a personal and professional setting. I wanted to say thank you to all of the instructors that not only took the time to teach me and reach out when I had questions but also the instructors that changed the way I look at or do things when working with GIS. This final blog post holds the link to my final GIS project a working portfolio of work that I completed within the course, as I do not have the availability to provide pictures of work I have done through my job I hope this will be a good explanation and rendering of my skills within GIS.

Friday, April 14, 2017

GIS day at home with Jenna and Benny

Jenna and Benny looking at Maps!!



The Day was quite entertaining, we started by looking at the Mercator projection and other projections and explaining why they are distorted and where the distortion is on each. We then looked at several maps from around the house, not only to plan an upcoming trip, but also to look at the fine details on a USGS map and show my wife what GIS in conjunction with other design and software tools can do. I then showed my wife and dog an aeronautical chart these are the charts that I work on professionally. Jenna found it very interesting even though most of it made little sense in terms of what everything was because she is not a pilot, and our dog just tried to eat the corners and step on it in order to get us to pay attention. They say that you dont truely understand something until you are able to explain it to someone or teach it to someone. After this GIS day not only do Jenna and Benny have a better understanding of GIS and what I do on a day to day basis but I myself have a better understanding and grasp of GIS as a whole. 

Thursday, December 8, 2016

Module 5: Final Report Week: Tyler Kobryn

http://students.uwf.edu/tk38/Leaflet/Tampa_final.html
This is the link that will take you to my Map Box.

students.uwf.edu/tk38/Leaflet/Tampa_final.pptx
This link will take you to my PowerPoint.




This is report week, not just any report week but the final report week for Special Topics in GIS. This was an exciting and very challenging lab with a lot of work and several hurdles. This weeks lab focused on the culmination of all of our hard work in Analysis week 2, The study area was Tampa Florida in particular Downtown Tampa the county of Hillsborough. The area is very dense and extremely busy. I chose this area because I am very familiar with the area, and the residents. I also wanted to see what kind of data and or results we could get from a city center, doing Escambia county has several pockets with fewer residents, and is more in the country than that of Tampa. So I thought that it would be interesting to kind of go the other way with a more densely packed area setting the radius to 1 mile. The results surprised me, there were a few Food Deserts in the area but nothing like Escambia county, there was one section of the map that would affect the analysis which is the bottom of the map its Macdill Air Force Base.

The PowerPoint was another story, it was very tough to try and speak slowly, and get it to work with the slides themselves. I decided to do it in blocks one clip per slide as suggested otherwise it just went too fast and had awkward lulls in the presentation. This made a significant difference, the PowerPoint is shorter but too the point. I included images of the work done and the maps created in order to present the listener with a better understanding of my work and the information that is being represented.

Saturday, December 3, 2016

Analyze Week 2 Tampa Florida: Tyler Kobryn

http://students.uwf.edu/tk38/Leaflet/Tampa_code.html



This is the link to my analysis final which takes place in Tampa Florida, I know previously I said I would be focusing my efforts on Parker Colorado but after carefully searching through the data that was available for the state, and the data that was necessary to complete the project, I found that it would not only take much more time than I had already spent which was about 2 days looking for downloading and manipulating data, with no luck. So I changed my gears and decided to search in another place that I consider home Tampa Florida. right away the data available for Florida is much more accessable and abundant.

The following map shows the food deserts in Tampa in particular the Hillborough county area or downtown Tampa. It was a surprise that after running the tools and working with the data to discover the food deserts in the area there actually were not too terribly many of them. The process of tiling is very easy as far as open source software is concerned. It was very easy to manipulate the data, alter what should be shown and the altering the color spectrums, I went very bold which is not typically my style but working on your final project you want to push the envelop for yourself and the project as a whole. The combination of mapbox and leaflet is a very powerful combination it allows your data to be uploaded and seen on the internet as quickly as you can create it. It is in very easy to read format because it is in conjunction with open street map which has a great display. With the availability of open source software, and data available this is the easiest and fastest way to get your message in maps across for next to nothing.

I really enjoyed working on this weeks project, coding and all I am always interested when I get to learn or complete somthing totally new and exciting to me. Which is why I have such a love hate relationship with coding because its fun to learn the new tricks and the automation behind it but as a beginner it is very frustrating and difficult to use and understand.

Sunday, November 27, 2016

Open Source Analyze Week 1: Tyler Kobryn

http://students.uwf.edu/tk38/Leaflet/mod43.html


This weeks lab was a very difficult and influential lab. It was very difficult because it was mostly scripting and coding from notepad and saving as a .html. This was quite difficult because the scripts were very intricate and using notepad does not allow you the luxury of the debugging tool so there was quite a lot of trial and error as well as issues with the code itself. it was nice when the code actually worked there are still a few bugs such as obviously that is not my name in the link to the map, but it does lead you to my map. There were several issues with the geocoder script and locating where to place that in the code. I relied heavily on open stack and my class mates for the information and any help that was needed for the scripts.

Once the script worked to the best of my ability, it was more than satisfying to see it open and the ability to pan around the map for the locations that I dictated in the script like changing the wording and the types of areas and the areas found. This is what will be worked on in analyze week 2 which will be focusing on Parker Colorado. and food deserts and oasis here where I now live. I really enjoyed the trials and tribulations of this lab and the ability to learn something new meaningful and useful for future events where I may have to inevitably use open source software down the road.

Thursday, November 17, 2016

Module 4 Open Source Prepare Week: Tyler Kobryn

This is Prepare week part A this map is getting to understand how to use QGIS and the tools associated with it showing Florida the extent of Escambia County and Escambia County. 


The following map shows areas in Escambia County Florida where there are foo deserts and food oases as well as an inset for those of you who may not know where Escambia County Florida is.



The following lab was very eye opening and insightful, we had to work with an open source GIS platform called Q GIS, which has a lot of similarities as well as significant differences than that of the very orderly and well-kept Arc Map. This lab was also focused on the idea of working for a non profit which wouldn't have access or the funds to purchase ESRI products. There are aspects of Q GIS which I honestly think work better and more efficiently than that of arc map, of these items is the clip tool which stay open after you clip the item and adds it to the map, this is convenient when clipping multiple items to different items. I also really enjoy working with two different screens when creating my map instead of flipping back and forth between data and layout views. 

Although this is an excellent open source product it does have a few bugs, or workarounds that I could see being a little bit frustrating, such as the convenience of not just clicking a north arrow that you prefer, as well as adding a scale bar, you almost have to be a mathematician to get it to show any semblance of a round number. But open source products are always being updated and improved upon making it an excellent source for those who need GIS without the budget and can also figure out ways to improve it to their livelihood with other apps and scripts. I have used Q GIS several times and am always impressed with the ease at which it works with data and other information if a career led me to a place where this is what they used I would not be afraid to dive right in because it is very user friendly once you understand that it is not Arc Map. 

Tuesday, November 8, 2016

Module 10 Supervised Classification German Town Maryland: Tyler Kobryn

The following map shows the Supervised Image Classification of German Town in Maryland. This includes areas in square miles, and several different classes denoting areas from Urban to Grass.


The following Lab was something that I found to be very interesting and enlightening, not only was it a lot of remote sensing and detective work to figure out what the areas that you are drawing your polygons are, but also trying your best to draw the polygon to only include the areas that are specific classifications. Trying not to include several other pixels into the polygon to have as accurate an assessment as possible of the classification. When looking at forest trying not to include too much of a different type other than deciduous as this would fall into the mixed category and skew the results. This lab took some time because the tools and the amount of detail that is required can be a little daunting but it really pushed me to create the best map and analysis with the best spectral bands that I could and that would make sense to the map without overriding any one color in particular.

I found supervised analysis and image classification to actually be easier to interpret and represent as a whole, it just made more sense because I am a person who likes order so this was a direct correlation to what I look for when creating something or understanding data and mapping. The data is also easier to interpret when using histograms and scatterplots because they have a higher degree of accuracy and are much more presentable than an the Unsupervised image classification was, there were more rules which were easier to follow.