Category: Course Student Work

Data Review:

1. PLSS: Contains all zip codes within Delaware County.
2. Township: Consists of the 19 townships that make up Delaware County. 
3. Delaware County E911 Data: Includes all addresses within Delaware County.
4. Building Outline 2021: Contains the building outlines for all structures.
5. Original Township: The original boundaries of townships in Delaware County before tax district changes. 
6. Street Centerlines – DXF: Shows the center of the pavement on all public and private roads in Delaware County. 
7. Recorded Document: Shows the location of miscellaneous documents recorded in the Delaware County Plat Books. 
8. Dedicated ROW: Displays the Right-of-Way lines within Delaware County.
9. Precincts: Consists of voting precincts within Delaware County. 
10. Address Points – DXF: Shows the exact location of the center of each building, as well as the address of each building in Delaware County. 
11. Parcel: Consists of polygons that represent the parcel lines within Delaware County.
12. Zip Code: All zip codes within Delaware County. 
13. School District: Shows all school districts within Delaware County. 
14. Building Outline 2023: Shows building outlines for all structures in Delaware County. 
15. Condo: Shows all condo polygons within Delaware County.
16. Subdivision: Consists of all subdivisions and condos in Delaware County.
17. Map Sheet: Consists of all map sheets within Delaware County.
18. Address Point: Representation of all certified addresses within Delaware County.
19. Farm Lot: Consists of all farmlots within Delaware County. 
20. Annexation: Contains all annexations and boundaries from 1853 to the present in Delaware County. 
21. Survey: Includes all surveys of land within Delaware County.
22. Tax District: Consists of all tax districts defined by the Auditor’s Real Estate Office in Delaware County.
23. Hydrology: Displays all major waterways (lakes, rivers, etc.) within Delaware County.
24. GPS: Identifies all GPS monuments established in 1991 and 1997 in Delaware County.

Delaware Data Inventory: 

Chapter 7: 

Chapter 7’s focus was on digitizing. The concepts learned in this chapter include editing polygon features, creating and deleting polygon features, using cartography tools, and transforming features. I found this chapter much easier to understand than the previous chapters and didn’t have any trouble following it. 

Chapter 8:

Chapter 8’s focus is on geocoding. What was gone over in this chapter was geocoding data using zip codes and geocoding using street addresses. I was having trouble getting the program to run the Collect Events tool as it kept coming up as an error. Other than that, I think this chapter went pretty smoothly.

Chapter 9: 

Chapter 9 is all about spatial analysis. In the chapter we learned about using buffers for proximity analysis, using multiple ring buffers, creating multiple ring service areas for calibrating a gravity model, using network analysis to locate facilities, and performing data cluster analysis. Honestly this chapter felt pretty complicated. I was definitely struggling more than I was in previous chapters. I was especially having trouble in 9.3 trying to symbolize the output polygons as I for some reason could not get them to show up.

Zip Codes: Provides data on zip codes of Delaware and different roads and tax parcels within the zip codes

School Districts: separates the school districts in Delaware County and is updated monthly

Building outline: Provides outlines of all the buildings in Delaware County

PLSS: Provides data on the Public Land Service System in the US and the Virginia Military Service District in Delaware County

Street Centerlines: Depicts the center of public and private streets in Delaware.

Address Points: Provides accurate placement of addresses within a parcel and is maintained by the auditor’s office. It aids in appraisal mapping, 911 Emergency Response, accident reporting, geocoding, and disaster management

Parcel: shows polygons that represent cadstral parcel lines in Delaware. They are updated daily and posted monthly.

Delaware County E911 Data: Is based on the address points data, and provides more accurate data to 911 agencies. This is used to determine the closest address to the 911 call.

Condo: Provides polygons that represent all of the condos in Delaware 

Subdivision: provides points that represent all of the subdivisions in Delaware. Data was created to help locate miscellaneous documents in Delaware County

Original Township: Shows the original boundaries of Delaware townships before Ohio tax districts influenced their shapes.

Precincts: Shows voting precincts in Delaware County and is controlled by the Delaware County Board of Elections

Dedicated ROW: Shows lines that are designated right of way in Delaware County.

Map Sheet: shows all map sheets in Delaware County

FarmLot: Shows all the farm lots and their boundaries within Delaware that are in the US Military and the Virginia Military Survey of Delaware.  

Annexation: Provides Delaware’s annexations and conforming boundaries from 1853 to the present.

Survey: represents surveys of land in Delaware County

Tax Districts: Consists of all the tax districts in Delaware County and is defined by the Delaware Auditor’s Real Estate Office. 

Hydrology: Shows all major waterways in Delaware County and is published monthly

GPS: shows all GPS monuments that were established in 1991and 1997 and is published monthly

Chapter 7:

 

This chapter taught me how to configure polygons on maps and align them with features within the map. Interacting with the different vertex points was challenging for me, but I got it after a little bit. Learning how to make the polygons smooth was interesting. 

Chapter 8: 

From this chapter, I learned how to use ZIP locators to put data points on a map. This helped me gain appreciation for how data can be reflected on maps and how to fix any issues I had within my dataset. 

Chapter 9: 

This was the most challenging chapter for me out of the three. While I did enjoy figuring out how to implement buffers on a map to outline certain areas, It took me a while to fully understand how to do so. Learning to join areas together was cool. 

Chapter 7

This chapter focused on how to create and edit different map features, with particular attention to working with polygon features. It explained how these features can be adjusted and refined, and introduced techniques for improving the appearance of maps, such as using cartographic tools and incorporating CAD drawings. Overall, the chapter emphasized the processes involved in building and modifying GIS features.

Chapter 8

While this chapter didn’t include as many tutorials, it was more complex than many of the earlier ones. The material was challenging and not something that came easily at first, but it covered important concepts for understanding GIS. The focus was on the geocoding process, explored in greater detail, including how to use data such as ZIP codes and addresses for geocoding. I thought the Soundex Key was the best part about this chapter; even if a user puts something in incorrectly, it can assume what the user meant.

Chapter 9

This chapter was fairly complex and focused heavily on spatial analysis. It introduced the use of buffers for proximity analysis, showing how to create and apply single or multiple buffers to evaluate locations. It also covered additional methods such as service areas, clustering, and location models, providing a deeper look into different tools for spatial analysis.

 

Chapter 7 – This chapter went over a little bit about how you can both create and edit different features on the map. More specifically it went into working with polygon features and how to use those. It went over how you can make your maps and features look smoother by using things such as cartography tools and working with CAD drawings. Overall the chapter just mostly worked with creating and editing GIS features.

Chapter 8 – this chapter didn’t have a ton involved in terms of how many tutorials there were, but I definitely think it was a lot more complex than a lot of the other chapters and tutorials I have done. It was a little bit complicated and not necessarily one of the things I would catch onto quickly, but it’s important information to know about GIS. You learn a lot more about the whole geocoding process in a more complex, detailed way. You can use things such as zip codes and addresses to geocode in this chapter.

Chapter 9 – Chapter 9 is also a decently complex chapter that goes into a lot of detail with spatial analysis. It really looks into different buffers and how you can use that for proximity analysis. It teaches you how to use those buffers and how you can create multiple to use it for locations. It also goes into methods such as service areas, clustering, and location models.

Chapter 4 – Chapter 4 was pretty in depth with databases in general such as spatial databases. I learned how to import different types of data into those geodatabases and how to modify tables and fields of different maps. This chapter also helped me learn how to calculate fields and join tables. You get an introduction into SQL criteria and how to do work with those attributes as well. This chapter is really good for data organization for things such as projects or data keeping. It can also be good for different kinds of research or analysis.

Chapter 5 – This chapter focused a lot more on world maps and their different projections. Specifically US world maps and working with different coordinate systems. Some of the specific things I learned had to do with vector data formatting and tabular data to explore lots of different spatial data like we did in chapter 4. This chapter is important for mapping specific locations for a variety of different reasons. It can be good for plenty of different jobs and people needing it for different roles.

Chapter 6 – Chapter 6 really dives into the concept of geoprocessing. You learn a lot about block group polygons and how to create different things on the map such as neighborhoods and other divisions. You can create study areas on one specific area such as extracting a neighborhood and using the attributes to gain knowledge on that one area. You also learn to merge areas together to make one big map of several different things and how to divide things into different layers. This chapter can really be useful when trying to do different tasks in the geographic data world.

1. Chapter 7: This chapter briefly went over how to modify and edit maps. While this chapter didn’t provide super important information, it was still very helpful. It gave me background on how to scale and move polygons within the map. Essentially, this chapter helped me design my maps to be more visually appealing. I only ran into a few problems within this chapter. One of them is my inability to split the buildings. I drew my shape around the building and double-clicked as instructed, but the two buildings in 7-1 didn’t split. It was interesting to apply polygons to not just buildings, but parking lots, and other features as well. This taught me how useful creating a digital version of it on the map can be. Another issue that I ran into was my inability to find the bus stop marker. I don’t think this is a big problem at all because I was able to use another symbol to mark the bus stop, but I thought I would note it. For future reference, it was good to learn that I have to import features from a downloaded building so that I can modify them.

Chapter 8: This chapter was a little bit confusing to me. While I understood sort of what I was doing, I don’t think I could replicate it on my own or really explain how it enhanced the map. Something that the chapter talked about that I thought was really interesting was the Soundex key. This makes it so that if information is input in the map incorrectly, the system can assume what the user meant by matching it with similar items that are pronounced the same. This makes it so much easier for the map maker and provides more accurate data. Something that I didn’t really understand was how rematchi addresses work. I understand that you can change the information to be correct zipcode-wise, but in one of the steps, the book had me pick a random place on the map to rematch an address, which didn’t make any sense to me. Something that was useful was learning how to organize the data using graduated symbols. Instead of having to input the symbols one by one, the system was able to connect the zip codes with each other and assign them a symbol on its own. Towards the end of the chapter, it does a better job of explaining how this can be used for marketing tactics. This makes it a little easier for me to understand how this can be used. However, I have a question of why it has to be so specific. Wouldn’t you be able to apply the same marketing tactics with the information that the system estimates? Also, wouldn’t you be more focused on zip codes than rectifying street names?

Chapter 9: This chapter provided insight into how to label areas based on how close they are to the things surrounding them. It provided how far certain people might be from an attraction and how that impacts whether they go to one attraction vs another one that might be a different distance away. You can do this by creating a buffer around the attraction and seeing how many people fall into the buffer. Something that I thought was super cool was that you can vary the size of the buffer and create multiple buffers with varying distances. I ran into a bit of a problem with the last part of 9-3. In this section, when using the spatial join tool, the author tells me that the information might not be available and that I have to lengthen the tool pane in order to see it and input it into the data. I looked around for a little bit, but was not able to find a way to lengthen the tool and select the data that I needed. The chapter went over how to create a spider graph out of specific locations. While I see how this can be useful when needing more accurate data, I prefer the buffer tool because it provides an image that is easier for the viewer to understand. In 9-5, it was super cool to see the patterns of people who commit crimes and where they commit them based on their age demographics.

Chapter 7:

• You can manually digitize a map by creating new map features, as well as editing existing ones.
• You can make edits to specific features or groups of features, including rotating them, moving them, and or changing their specific shape.
• You can import CAD drawings into the software to create more detailed features, or to make ones that match architectural drawings exactly.
• This chapter mostly focuses on the various tools available for creating specific features, and how to modify and import existing ones
• .

Chapter 8:

• This chapter was all about Geocoding data
• Geocoding matches input data to specific locations or features on a map, which can be useful for a variety of purposes
• Geocoding uses a fuzzy search method, and tries to match the most data, rather than making the most accurate matches possible, in order to account for error in the users input
• You can tune the parameters of the search to make it more or less strict, with higher strictness giving better accuracy, and lower strictness giving a  higher match count.
• You can geocode to match various features for varying levels of accuracy depending on your data, such as county vs streets

Chapter 9:

• This chapter focuses on different spatial analysis tools that can be used to gain insights about data

• Buffers are a region that surround a feature out to a certain distance, sort of like circling the feature or feature class
• Buffers allow you to select only the data that falls within their radius, and the radius can be based on distance or travel time depend on application, and can also be graduated to show regions within different distances of the feature
• Network analysis allows you to select specific features within a feature class based on sets of conditions, or can allow you to optimize an already existing network
• Cluster analysis allows you to find clusters of data points that are similar or close to each other, and groups them, and then assigns them a vector in 3D space(?) representing the data point(?)

Chapter 7

1. Editing polygon features
2. Creating and deleting polygon features
3. Using cartography tools
4. Transforming features

I really enjoyed moving the features around and “fixing” the map. It felt like doing a puzzle. Creating polygons and outlining areas was also pretty cool. Everything in this chapter went smoothly, and I can see how this chapter would have some real-world applications in things like architecture. 

Chapter 8

1. Geocoding data using zip codes
2. Geocoding street addresses

This chapter was super easy and short, I wish all of the chapters were like this one. The only issue I encountered was with the “create locator” tool at the beginning of the chapter, I think I accidentally made a copy of the output locator, which I fixed by just renaming it “PARegionZIP_CreateLocator1.”

Chapter 9

1. Using buffers for proximity analysis
2. Using multiple-ring buffers
3. Creating multiple-ring service areas for calibrating a gravity model
4. Using Network Analyst to locate facilities
5. Performing data cluster analysis

I felt like this chapter repeated a lot of things from earlier chapters, just using different methods to get the same results. This was all fairly easy, but it took me a while. I also liked the visuals that the maps created, I can see how this could be useful for someone who works in data analysis or something similar.