GIS Final Project

http://students.uwf.edu/pmw5/FinalProjectGIS/GISFinalPresentation_PW.pptx

http://students.uwf.edu/pmw5/FinalProjectGIS/Commentary_PW.pdf  

   These two links connect to my I Drive and contain the PowerPoint and the commentary to my final project. The final project required us to make a PowerPoint presentation and commentary around the analysis of 4 map objectives. The project had us analyze the feasibility of the Bobwhite-Manatee transmission line placement in Manatee and Sarasota Counties, Florida, based on 4 criteria: It impacted few environmentally sensitive lands, it impacted few homes, it impacted few schools and daycares, its length was not too long.

Georeferencing, Editing, & ArcScene

   In this lab, the objectives were to: georeference data using the Control Points tool in order to distribute control points, georeference an unknown raster image of the UWF campus to known vector data (buildings and roads of the campus), interpret Residual and Root Mean Square errors, digitize a new building and road feature, practice polynomial transformations, create a hyperlink in ArcGIS to data stored on a personal drive, create Multiple Ring Buffers, customize an ArcMap toolbar, and overlay vectors and rasters to a 3D environment. In this lab, 2 maps were created.

Georeference of the UWF Campus

   This map shows the UWF campus georeferenced on the right, and an eagle nest buffer zone on the left. For UWF map, control points were used to align the raster with the vector points in order to assign a spatial reference. Two new features were also added through the Editing toolbar. The eagle nest map utilized the MBR tool in order to create a buffer of 330 feet and 660 feet around the nesting site. The buffer represents the distance the nest site needs in order to be undisturbed by development.

3D Map of the UWF Campus

   For this map, ArcScene was used to overlay the rasters and vectors to a DEM. Vertical Exaggeration was added to enhance the height of the buildings. The 3D map was exported as a 2D image and imported into ArcMap to add the final map elements. The POV is of the two new features created in the lab.

Geocoding and Network Analyst Lab

   In this lab we created an address locator, conducted Geocoding by address matching, and utilized the Network Analyst extension in order to complete a route analysis.

My Map

   We downloaded data from the U.S. Census Bureau TIGER Line Shapefiles, imported it into our lab specific geodatabase, created an Address Locator in it, and used it to geocode locations into our map depicting EMS locations in Lake County, Florida. Afterwards, we used the Network Analyst extension to create three stop locations nearby three EMS stations (of our choice) and computed an optimal travel route along those three stops. 

Vector Analysis Part 2

   In this lab, our objectives were to: use the buffer and overlay tool in ArcMap, create a script in ArcPy to run the buffer tool, analyze vector data using spatial queries, learn the six different overlay tools operations and when to use them, use a few of the overlay tools to combine or exclude multiple features, and distinguish between multipart and singlepart layers.

My Map

   This map was created with the purpose of locating potential campsites in the De Soto National Forest, Missouri that are within 300 meters of a road, 150 meters of a lake or 500 meters of a river, and excluded from conservation areas.

Data Search

   In this lab, our objective was to search for our own data, perform projections with the project tool and project raster tool, define projections when unassigned one, and clip our raster and vector data. We searched for five basic datasets (roads, rivers, cities & towns, parks, county boundaries), two environmental datasets (I chose habitat and land cover), and two raster (a Digital Elevation Model and DOQQ). We used Labins.org to find our raster data (aerial photo) and USGS to download a DEM.

 

My Vector Map

 

   This map shows the vector data I acquired. On the left, the map depicts the major cities and roads in Duval County. On the right, the map depicts parks, major rivers, federally protected marine areas, and mangrove land cover. The projection for each vector data was converted from Albers Equal Area Conic to NAD 1983 State Plane Florida East FIPS 0901 Feet (US Feet). This projection was based off of the DOQQ raster data I collected, which was set to this projection.

 

My DEM Map

   This map shows the elevation of Duval County. The light quantities represent high elevation and the dark quantities represent low elevation. This was projected from GCS North American 1983 to my designated projection. It was created by clipping the data frame image to the boundary of Duval County.

 

My DOQQ Map

 







 

   This map shows the aerial photo as an inset map over the county of Duval. The aerial photo is a portion of the city of Jacksonville, laid over the county of Duval and the major roads (labelled) in Duval. The raster data was already in the correct projection, all I had to do was re-project the county boundary data and road data. 

 

Projections Part 2

Hello!

In this lab we learned how to download data from websites and how to define and reproject that data in ArcMap.

More specifically, we downloaded aerial photos, topographic quadrangles and shapefiles from two online data sources for the state of Florida. We also learned how to navigate these sites and get important source information from them.

We learned how to define data that has an unknown geographic coordinate system and how to project it. For the sources with a defined coordinate system, we learned how to reproject them to the desired coordinate system for our project.

We used supplemental data with lat and long values in Excel and learned how to convert it into X & Y values that can be used in ArcMap. We also learned how to assign a coordinate system for these values, and reproject it, as well.

The end goal was to be able to assimilate our own data, define, project, or reproject that data, and ultimately have created a map that implements only one coordinate system.

My Map (raw form)

 

The purpose of this map is to show petroleum tank contamination sites in Escambia County Florida. We were given free reign over which quad of Escambia county we chose. I chose Pensacola, it is quad 5258 and I found it on Labins.org. I chose the major roads data on the FGDL metadata explorer under a Florida Department of Transportation listing. The county boundary and quad index were worked through in the lab and were not free choice. This screenshot shows my end result. All the is data visible on the map and my data frame properties tab shows that all my data is projected on the correct (and same) coordinate system.

Projections Part 1

Hello!

In this week's lab our objective was to be able to utilize the Project and Project Raster Tools in order to re-project data to a common Projected Coordinate System, recognize .prj file projection information as associated with GIS data files, properly work with and display multiple data frames in ArcMap, find the difference in area between data files displayed in different projected coordinate systems, and to be able to create a map with multiple data frames.

 

Here is my map outcome:

Map Summary:

This map shows the state of Florida projected with three different projection systems, which are the Albers Conical Equal Area projection, the NAD 1983 UTM Zone 16N projection, and the Florida State Plane North (HARN) projection. Each projection system held differing value quantities for the area of the counties, which is noted in the table below the maps. For this map, Albers is the choice selection for map projection since it accurately represents area across the whole planet, even though it distorts the shape. The other two projections are less accurate for this map projection because they only cover a small portion of the state of Florida. While this makes their covered areas more accurate, it leaves the uncovered areas outside of their boundaries less accurate. The projection with the worst distortion is the UTM Zone 16N projection, since it only accurately represents a small part of the state located in the panhandle.

Sharing GIS Maps and Data

Hello!

Lab Objectives:
In this lab we learned how to gather and prepare our own data to make a map and how to share that map via the internet through three ways. We made a map package in ArcMap and shared it via the internet by logging into our personal ArcGIS online account in the software and sharing it directly to our accounts, we used our data to make a basic map on the ArcGIS online website under our accounts, and we learned how to convert our maps into a kml file to be used in Google Earth.

Here is a link to the map I made on ArcGIS online: http://arcg.is/20cMi9e

My Experience:
I had a lot of fun making my own data into something usable in ArcMap. I had never made my own data before and I was initially concerned it would be done in some complex way. It was also exciting to see all the different ways we can share our maps and to see what each option had to offer in view-ability and functionality in using our maps.

GIS Cartography

Hello!

In this lab we were required to make three maps. One to show the population levels of Mexican States, one to show the major water features, roads, railroads, and urban areas of Mexico, and one to show the topography of Mexico. The map I am showcasing today is the topography of Mexico.

Map Description:
This map shows the elevation in meters, with a color ramp of red, orange, green, yellow depicting the elevation. The warmer colors depict higher elevation, while the cooler colors depict lower elevation. The inset map helps the map-reader see on a global scale what area is zoomed in on. The title, inset map, legend, scale bar, and other map essentials are placed in what I felt was the most balanced location. The country of Mexico and its cities are labeled suitably, as well as neighboring countries. The surrounding countries were made a light, cool color of a different hue in order to not blend in with the data being presented.

Lab Learning Outcomes:
In this lab we learned how to:
- Connect to folders in the S:\ drive through ArcCatalog and display content and metadata from our saved data folder.
- Explore and change properties of data in ArcCatalog through the Fields tab under Properties.
- View ArcCatalog while in ArcMap by clicking on the tool bar for ArcCatalog.
- Add layers to our Table of Contents in ArcMap by dragging and dropping them from ArcCatalog.
- Create a shapefile of the Mexican States by first using the Select by Attributes option and Query Builder to define the Mexican States. Then, creating the shapefile by exporting the data from the Data tab, navigating it to the correct folder, and saving the file as .shp.
- Label features by going into the layer's properties, into Labels tab, checking the Label features box, and selecting the correct Label Field.
- Change color symbology of a layer by going into Properties, Symbologies tab, clicking Quantities, and choosing a color ramp option. We also learned we could flip colors by clicking on the Symbol column and choosing Flip Symbols.
- Use Dynamic Text to add Essential Map Elements quicker. We did this by going into File, Map Document Properties, and filling out the dialog box that appears.
- Convert labels into Annotation in order to select and drag them in data view. We did this by right clicking on the layer and selecting Convert Labels to Annotation. In the pop up box we select In the Map when it asks where we want to store our annotations.
- Create an inset map by inserting a new Data Frame in the TOC, dragging it to the bottom of the TOC, dragging our world country layer into the new data frame, and then going into Properties, clicking Extent Indicators, and moving Layers into the right box.

My Experience:
I enjoyed creating a variety of new map types in this lab. I had the most fun rearranging my map elements and getting my map to be focused on the correct location. I did a lot of swapping between data and layout view in order to balance it just right.

Own Your Map

Hello!

In this laboratory exercise we learned to create a professional looking map by first learning, and then utilizing, the essential map elements through the ArcGIS software. My map example, as seen below.

We learned how to:

- Properly find and repair data sources when opening new .mxd files.

- Create an inset map (as shown above in the upper right corner of map) and add a new data frame (zoomed specifically on Escambia County).

- Copy and drag data sets between layers.

- Clip out features in the data frame that extended beyond the boundary of Escambia County (rivers, roads, cities, etc).

- Single out data (such as cities specific to Escambia County) and display it by using the Query Builder tool and Select Attributes tool.  Furthermore, we learned to narrow it down to displaying only three locations.

- Create new shapefiles and where to save them.

- Use the correct symbology for features on our maps and decipher color meanings.

- Add Essential Map Elements (titles, legend, north arrow, scale bar, cartography details, sources, etc.).

- And lastly, change default metadata settings in order to obtain a metadata with more information.

My experience for this week:

This lab was overall satisfying to work through. Navigating through ArcGIS is getting easier to do (with hours of practice!) and I find I am able to solve most of my mistakes without too much cross-referencing between guide materials.

ArcGISOverview

Hello! 

In this introductory lab we were provided with two sets of data in order to build our very first map of the class using ArcMap through eDesktop. The map below shows the location of  major cities around the world as well as the population of each country, by color coding, in the year 2008.

 I was a little daunted at first by the length of the overview guide, but found out it was for a good reason. The guide's length was much needed in providing important details for each step of the way, and because it was so well detailed and written I had a very enjoyable (and quite fun!) experience making my first map. I enjoyed working with the software and found it user-friendly and easy to navigate. I look forward to utilizing this software in future lessons!

Introduction

Hello!

 My name is Priscilla Woodrow. I am a recent college grad from the University of Oklahoma with a BA in anthropology. I am originally from Oklahoma in a small town near Fort Smith, AR. I moved to the Pensacola area in June of 2015 with my boyfriend and four animals (2 cats, 2 dogs). I enjoy online gaming, reading, sewing, and traveling.

P- practical   R- realistic   I- intuitive   S- sarcastic   C- collected   I- imaginative   L- lovely   L- lively   A- artistic