Category: Course Student Work

Zip Code: All the zip codes in Delaware County, updated monthly. 

School District: All the school districts in Delaware County.

Building Outline 2023: All the building outlines in Delaware in 2023.

Street Centerlines: The center of pavement of roads in Delaware County.

Address Points: All the addresses in Delaware County. 

Parcel: All of the cadastral parcel lines in Delaware County.

Condo: All of the condominiums in Delaware County.

Subdivision: All subdivisions and condos in Delaware County, updated daily and published monthly. 

Recorded Document: All points of recorded documents in Delaware County, such as surveys and annexations. 

PLSS:  All the Public Land Survey System polygons in both the US Military and the Virginia Military Survey Districts of Delaware County.

Township: All 19 Townships in Delaware County. 

Dedicated ROW: All designated Right of Way lines in Delaware County.

Precincts: All voting precincts in Delaware County. 

Delaware County E911 Data: All certified addresses in Delaware County. 

Building Outline 2021: Building outlines for all structures in Delaware County in 2021.

Original township: Original townships in Delaware County before the tax districts changed the shapes.

Map Sheet: All map sheets in Delaware County.

Farm Lot: All farm lots in US military and Virginia Military survey districts in Delaware County.

Annexation: All annexations and conforming boundaries 1853-now in Delaware County. 

Survey: Survey points that represent land surveys in Delaware County. 

Tax District: All tax districts in Delaware County.

Hydrology: All major waterways in Delaware County. 

GPS: All GPS monuments from 1991 and 1997. 

 

Chapter 7 this chapter introduced a few tools for manual digitization by tracing. By using base maps we learned how to create new feature classes and use base maps or existing layers for digitizing features. we also used lidar as a reference for heads up digitizing. Next we edited existing features and created features for a university campus. We added new structures, additions, and renovations to existing buildings.



chapter 8- in section 1 of this tutorial we geocoded survey data collected by a Pittsburgh arts organization that holds and event each year. We used survey data if geocoded to look at potential marketing, philanthropy, and other forms of communication with its patrons. In section 2 we used the arts event data from section 1 to add street addresses and more detailed location data on attendees that would be desirable for the market. we also geocoded by street address to place unique points on the map for attendees.



Chapter 9- we took a step beyond using visualization of spatial data to answer questions and solve problems. We covered four spatial analytical methods: buffers, service areas, facility location models, and clustering. This included building buffers and estimating gravity models nearest pool from their residences. This analysis suggested which public swimming pools to keep open during a budget crisis. We also used cluster analysis to investigate demographic and spatial patterns of arrested persons for serious violent crimes. This chapter also introduced the network dataset which is used for estimating travel distance or time on a street network.

Chapter 4 we learned about working with spatial databases and databases in general. A database is a container for the data of an organization, project, or other undertaking for record keeping, decision making, analysis, or research. A file geodatabase is ESRI’s simplified database for storing geospatial data. Although geodatabases have a simple format, they are powerful spatial data containers and they allow data tables to be related and joined.

Chapter 5. Starting with working with world map projections. Geographic coordinate systems use latitude and longitude coordinates for locations on the surface of the Earth, whereas projected coordinate systems use a math transformation from an ellipsoid or a sphere to a flat surface. Next we gained experience with projections commonly used for maps of the continental US. You can either get accurate shapes and angles or areas but not both. After that setting projected coordinate systems came next. For medium and large scale maps use localized projected coordinate systems specifically tuned for a defined area to minimize distortion. Next, we worked with vector data formats which is essentially reviewing file formats commonly found for vector spatial data as well as geodatabases previously covered. Then we learned how to download geospatial data.

Chapter 6 geoprocessing is a framework and set of tools for processing geographic data. You must use geoprocessing tools to build study areas in a gis and perform tasks. We learned how to extract a subset of spatial features from a map using attribute or spatial queries; aggregate polygons into larger polygons; append layers to forma single layer; and use intersect, union, and tabulate intersection tools to combine features and attribute tables for geoprocessing.

Chapter one familiarized us with a component of our class ArcGIS Pro by starting the tutorial and putting into action what we’ve been reading about. we worked with a finished map in ArcGIS pro that had locations of urgent health care clinics in Allegheny county, Pennsylvania. We started by reviewing key terms and going over the basics of the map such as the different layers. Then we learned how to navigate the map optimally. Then we reviewed attributes. and finished with being introduced to symbology on the maps



Chapter 2 we learned how to design and symbolize thematic maps. A thematic map strives to solve or investigate a problem. they consist of a subject layer or layers placed in spatial context with other layers. The subjects of thematic maps are commonly vector layers because such layers often have plentiful quantitative and qualitative attribute data that is essential for analysis. However you can of course use raster layers. Spatial context layers can be vector and theses layers can be in either raster or vector formats including many basemap layers provided by ESRI. I had to however had to skip over a section in chapter 2 section 4 because the attribute table was completely blank.



Chapter 3 the next chapter is about sharing the maps we just worked with people who don’t have access to ArcGIS pro or who do not have gis skills beyond basic map navigation. In the first tutorial we built a map layout with 2 maps this giving us a the skills to build any kind of layout with one or more maps. Section two we shared ArcGIS pro maps and published them in ArcGIS online as web maps and performing extra work on them using ArcGIS map viewer. next we learned about creating a story in ArcGIS story maps. we finished out with creating a dashboard in ArcGIS dashboards.

Delaware Map

 

 

 

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.