Week 6 Fry (Catch up)

Chapter 7: In the first tutorial I was able to manipulate the polygons within a campus map, using the editing features. This was helpful because I had not yet used the editing frames, and I had to make sure to be saving each edit after I made it. Tutorial 2, went more in depth with the features used to create and manipulate polygons within maps. I was able to create my own polygons and get a better understanding of the types of polygons that are useful in this kind of mapping. Tutorial 3 taught me how to smooth layers, it was helpful because I was able to still see the underlying mapped features but have a translucent marker over top to designate the boundaries of the noted features. I hit a snag with the fourth tutorial because gis for some ridiculous reason would not allow me to select the polygon layer which therefore meant I could not finish the tutorial because I could not manipulate the layer in any way but it was interesting to learn about how to import this layer of polygons into an existing map, and I hope in the future GIS will work properly so I can get the polygon to layer over map properly.

Chapter 8: The first tutorial helped me plot a large data set on the map, then I was able to make sure every data point was properly matched. This is helpful because in most cases when a vast data set is being placed in a mapping system there is bound to be mistakes or mix ups but learning how to find and correct those within GIS is important to making sure I know how to properly create and use the mapping I am learning. I was also able to use the collect events feature to quickly create a map that visually shows the frequency of events relative to location on the map. This was significantly faster than other methods the tutorials have used in the past to create maps like this. I continued this work in Tutorial 2, where I was able to again use the attribute table to determine the incomplete data in the set. I was also able to use street addresses for attendees and put them on a map which clearly has a cluster in the center, which is useful to know for the organizers of this hypothetical event, and is how these skills can be applied to the real world.

Chapter 9: From the first tutorial I learned how to create buffers and have the mapping system count other mapped features within those buffers. I was able to count how many kids were living within certain distances from a pool, and this could be repeated in many applications, it would be useful to many types of research that might actually be done. The second tutorial expanded on this by teaching me how to obtain more statistics from within these buffer areas which is helpful for more complete data analysis. The third tutorial helped me determine which pools were open, and made a map based on the proximity of the commute to an open pool. It also helped me use the data from this map to count the number of pool tag holders in these regions. This is more data analysis that is helpful for real world applications, not just with pools but with any resource, and can even be applied to animal populations. Tutorial 4 taught me how to use the data and demand tools to determine which pools maximize attendance, this is also an interesting concept to use for real world applications. Tutorial 5 taught me how to create clusters of data points, differentiate their statistics, and create separate labels and map symbols for those groups.

Chapter 10: Tutorial 1 was informative, it taught me how to use, manipulate, and extract the raster data from the mapping system. This helped me to visualize data sets and to integrate two different raster layers by changing the transparency of a layer. This will be helpful in the future when trying to create a multifaceted map that can display more than one type of data/information at the same time. In tutorial 2, I used some of the same skills as well as many I learned previously in order to create a density/heat map which was very interesting. Previously each of the skills that was used here had been used in a different capacity but bringing them all together to create this map really helped me to see the usefulness of some of the skills I have learned in earlier chapters of this course. Tutorial 3 was an even more immersive use of these skills bringing together what was learned in tutorial 2 with more of my past skills and it really made me feel good to make this map almost completely on my own.

Chapter 11: Tutorial 1 really helped me to get oriented in the 3D global view of the mapping interface, with a brief overview of shortcuts and how to manipulate the view point and manipulate the base layers. Tutorial 2 helped me learn to create a TIN layer and my own local view of the 3D map of Pittsburgh, which made the use of a 3D map make a little bit more sense. Tutorial 3 taught me how to add and enable and turn off z-enabled features to my 3D map which was interesting, and I know it will eventually come in handy for something other than trees in a park. Tutorial 4 got more in depth into the practical uses and functions of the 3D mapping interface. It brought in the Raster skills learned last chapter and used them in a 3D map this time. I learned how to manipulate a lot of the different features of the 3D map and use various different types of data to get different views. Both the fifth and sixth tutorials centered around using the 3D interface to add three dimensional shapes (buildings) onto the map in progressive detail. And finally, in tutorial 7 it culminated into a 3D animation which I think will be less useful to me in the future as it would be to someone in more of a city planning or architectural career path.

Weber Week 7

Address Point: Represents all certified addresses in Delaware County. Updated daily and published monthly.

Annexation: Tracks annexations and boundary changes within Delaware County since 1853. Annexation in this context refers to territorial adjustments, and the dataset is updated monthly.

Building Outline: Contains outlines of all structures within Delaware County. The dataset was last updated in 2023.

Condo: Includes all condominium-style housing within Delaware County.

Dedicated Right-of-Way (ROW): Represents all designated road right-of-way areas within Delaware County.

Delaware County Contours: Depicts two-foot elevation contours derived from 2018 topographic data, providing a detailed view of the county’s terrain.

Delaware County E911 Data: Utilizes address point data for reverse geocoding to determine the nearest emergency services location. This dataset is updated daily and published monthly, improving 911 response efficiency.

Farm Lot: Identifies farm lots within Delaware County.

GPS Monuments: Includes all GPS monuments established in Delaware County. Last updated in 2021.

Hydrology: Displays major waterways, including lakes and rivers, throughout Delaware County. Updated monthly using LiDAR data.

MSAG (Master Street Address Guide): Contains all street addresses within Delaware County and their corresponding jurisdictions (townships, cities, and villages). Updated as needed.

Map Sheet: Comprehensive dataset containing all official map sheets for Delaware County.

Municipality: Identifies the boundaries of all municipalities within Delaware County.

Original Township: Shows historical township boundaries before tax districts altered their shapes. This dataset is static and not actively updated.

Public Land Survey System (PLSS): Displays public land survey used for defining land divisions in Delaware County. Updated as needed.

Parcel Data: Contains all parcel lines within Delaware County. These are maintained by the Delaware County Auditor’s GIS Office, updated daily, and published monthly.

Voting Precincts: Outlines all voting precincts in Delaware County, maintained by the Board of Elections.

Recorded Documents: A collection of recorded documents from Delaware County. Used for locating property-related documents.

School Districts: Defines the boundaries of all school districts within Delaware County.

Street Centerline: Represents the center of pavement for all public and private roads in Delaware County. Primarily used for transportation planning, accident reporting, and emergency response. Updated daily.

Subdivision: Records all subdivision and condominium developments in Delaware County. Updated monthly.

Survey Data: Represents survey results across Delaware County, maintained by the Map Department. Updated daily and published monthly.

Tax Districts: Defines tax district boundaries in Delaware County, managed by the Real Estate Office. Updated as needed.

Township Boundaries: Depicts the 19 current townships that make up Delaware County. Updated as needed and published monthly.

Zip Code Data: Contains all ZIP codes within Delaware County.

Jolliff Week 6

Chapter 9

The tables were not working in chapter 9-3 when I tried to to join “service area” and “pool tags”. I was also unable to make the scatter plot. I moved on to 9-4.evrything else in this chapter went well. Super fun!

 

Chapter 10 

10-1 & 2 were fine in 10-3, I was unable to make the expression ZFHHChld=(!FHHChildren!-45.20/66.8. I kept going adn had an error in my model, but I think I fixed it, maybe? The poverty index wasnt showing i kept going adn made it to chapter 11.

Chapter 11 

Chapter 11 was fine, it was kinda crazy with all of the 3D things. Had some issues moving stuff around it was kind of hard to get the map to move in a way to see what you wanted to see. But overall a good chapter.

Yates Week 7

Address Point: This represents the unique addresses of every place in Delaware County, and is based on the State of Ohio Location Based Response System. It is used to help optimize emergency response.

Annexation: This represents the annexations in Delaware County from 1853 to present day. It is updated monthly.

Building Outline 2021: This is the older building outline data for Delaware County. It was last updated in 2023.

Building Outline 2023: This represents all the building outlines in Delaware County, and was last updated in 2024.

Condo: This data set represents all condominium style housing in Delaware County. It is based on data from the Delaware County Recorder Office.

Dedicated ROW: This represents the right of way data in Delaware County. It is line data created based on the Delaware parcel records.

Delaware County Contours: This represents the two foot contours in Delaware County and it is from 2018.

Delaware County E911 Data: This represents data from the location based response system for Delaware County. It is primarily used to help 911 operators be more efficient, and is updated daily.

Farm Lot: This represents the farm areas in Delaware County. It uses US Military data the get the data.

GPS: This dataset represents all the GPS monuments in Delaware County, from 1991-1997. It was last updated in 2021.

Hydrology: This dataset shows the major water ways in Delaware County, including lake and rivers. It is put together using LiDAR data and is updated monthly.

MSAG: This data set contains all street addresses and how they fit into jurisdictions, such as townships. It is updated as needed.

Map Sheet: The map sheet is a dataset that contains all the map sheets of Delaware County.

Municipality: This dataset shows all the municipalities in Delaware County.

Original Township: This dataset shows the original township borders in Delaware County. These are no longer in effect, and as such are not updated.

PLSS: This dataset shows the public land survey system. It is created using military data, and is updated as needed.

Parcel: This dataset contains all parcel data in Delaware County. It is created by the Delaware County Auditor’s GIS Office, and is updated daily and published monthly.

Precinct: This dataset represents the voting precincts in Delaware County. It is updated based on the Delaware County Board of Elections.

Recorded Document: This dataset represents all recorded documents in Delaware County. Its main purpose is to assist in finding documents.

School District: The school district represents all the school districts in Delaware County, and is made based on the Delaware County Auditor’s parcel records.

Street Centerline: This data set represents all roads and streets in Delaware County. It is updated daily and is used for things such as accident reporting and disaster management.

Subdivision: This dataset represents the subdivisions and condos in Delaware County. It is made based on the Delaware County Recorder’s Office and updates monthly.

Survey: This dataset represents the land survey results of Delaware County. It is overseen by the Map Department, updated daily, and published monthly.

Tax District: This dataset represents the tax districts found in Delaware County. It is created by the Real Estate Office and is updated as needed.

Township: This dataset represents the current townships in Delaware County. It is updated as needed and published monthly.

Zip Code: The zip code data is pretty self-explanatory. It is a collection of all the zip codes located in Delaware County, and is based on census data.

Banti Week 7

1. Zip Codes

This dataset maps all zip codes within Delaware County, carefully refined through census data and postal records. 

2. School Districts

A spatial representation of school district boundaries based on auditor parcel records. 

3. Building Outlines (2023)

This dataset contains the most recent building footprint data, offering insights into urban development and property mapping. 

4. Parcels

Cadastral parcel lines defining property boundaries, maintained daily.

5. Street Centerlines

This dataset maps the center of public and private roads, designed for 911 emergency response, accident reporting, and transportation planning

6. Condo & Subdivision Boundaries

The condo dataset outlines recorded condominium properties, while the subdivision dataset includes all recorded housing developments. 

7. Address Points

This dataset provides accurate placement of addresses within parcels, supporting geocoding, 911 services, and disaster response

8. Recorded Documents

This dataset includes survey plats, annexations, and legal documents related to land use changes. 

9. Dedicated Right-of-Way (ROW)

Tracks public roads and utility corridors, showing which land is set aside for public infrastructure.]

10. E911 Data

This dataset supports emergency response services, ensuring that addresses are accurately placed for quick location tracking. 

11. Hydrology

Maps all major waterways, rivers, and streams within Delaware County, enhanced using LiDAR data. .

12. GPS Monuments

A dataset identifying surveyed GPS reference points from 1991 and 1997. 

13. Farm Lots & Annexations

The farm lot dataset maps historical agricultural land divisions, while the annexation dataset tracks boundary changes since 1853

14. Tax Districts

This dataset defines taxation zones, determining property tax rates based on location.


Banti WEEK 6

Chapter 9

Chapter 9 focuses on spatial analysis techniques, providing hands-on experience with proximity analysis, service areas, facility location modeling, and cluster detection. The service area analysis with Network Analyst caught my attention too—it made me think about how healthcare access in affected communities could be mapped and improved. The facility location modeling was cool because it helps optimize the placement of cleanup or medical facilities, something I hadn’t considered before.

Chapter 10

This chapter introduced me to raster data processing, which felt like a whole new way of thinking about GIS. I found kernel density mapping especially interesting—it’s a great way to visualize concentration patterns. The risk index modeling was another highlight because it combines multiple factors into a single predictive map. I also liked how raster data allows for continuous data representation, making it ideal for environmental applications like pollution spread or elevation modeling.

 

Chapter 11

This was probably the most visually exciting chapter so far. Seeing geographic data in 3D made patterns much more obvious, especially when extruding data to show differences in contamination or population density. I really enjoyed creating local scenes because it felt more immersive. The line-of-sight analysis was a cool concept.  Overall, this chapter made me realize how 3D GIS can make spatial data more intuitive.

Cooper Week 7

Address Point: represents all certified addresses in Delaware County. These addresses are updated daily and the updates are published once a month. 

Annexation: annexations and boundaries since 1853, annexation just means territory here. 

Building outline: this set is of building outlines and structures for all structures in Delaware county. It was last updated in 2023. 

Condo: All condo polygons within Delaware county. 

Dedicated ROW: lines that are designed Right-of-Way. This data is updated daily and published monthly. Consists of all dedicated road right of way polygons in the county. 

Delaware County contours: 2018 two foot contours, topography of the county?

Delaware County E911 Data: Uses address point data to reverse geocode coordinates to determine the closest emergency services location. Updated daily and published monthly. 

Farm lot: identifies farm lots in both US Military and Virginia Military Survey Districts. 

GPS: all GPS monuments that were established in 1991 and 1997. 

Hydrology: All major waterways in Delaware County. 

MSAG: master stress address guide. Used political jurisdictions in the townships, cities, and villages within the county.  

Map sheet: all map sheets within Delaware county. 

Municipality: all municipalities within Delaware county. 

Original township: has all boundaries of the townships within the county before tax districts change their shapes. 

PLSS: public land survey system polygons are used for the US Military and the Virginia Military Districts for Delaware county. 

Parcel: represents all cadastral parcel lines within Delaware County. These geometries are maintained by the Delaware County Auditor’s office. 

Precinct: consists of the voting precincts for Delaware county under the data of the Board of Elections

Recorded document: recorded documents in Delaware County Recorder’s Plat Books, Cabinet/Slides and Instruments Records that would not be represented by the subdivision plats that are active. This is used to track down miscellaneous documents within the county. 

School district: school district boundaries within Delaware County. 

Street centerline: center of pavement in public and private roads within Delaware County. This was developed by address information. 

Subdivision: subdivision and condo records for Delaware County. 

Survey: shapefiles of point coverage that are representative of surveys of land within the county. 

Tax district: tax districts defined by the Delaware County Auditor’s Real Estate office. 

Township: data of 19 townships that make up Delaware County. 

Zipcode: all zipcodes within Delaware country defined by the 2000 census, the postal service, and the tax mailing addresses.

 

Urton Week 7

Data Inventory

Address point 

  • Representation of all addresses in Delaware County in Ohio that is intended for appraisal mapping, emergency response, accident reporting, geocoding and disaster management 

 

Annexation 

  • Contains the annexations and conforming boundaries in Delaware County.

 

Building outlines 2023

  • All building outlines for all structures in Delaware County and updated last in 2023.

 

Condo

  • All condominium polygons in Delaware County.

 

E911

  • Uses the address dataset to match it with the corresponding emergency service that is closest.

 

GPS

  • Identifies all GPS monuments from 1991 and 1997 and is updated as needed and is published monthly

 

MSAG

  • Includes 28 political jurisdiction with the purpose of locating a counties boundary

 

Municipality 

  • Includes all of the municipalities in Delaware County 

 

Parcel

  • Consists of polygons that represent cadastral parcel lines in Delaware. 

 

Precinct 

  • Data set consists of voting precincts within Delaware and is used and directed by the board of elections.

 

Recorded document

  • Consists of points that represent recorded documents such as vacations, subdivisions, centerline surveys, surveys, annexations, and other documents. The purpose of this is to locate miscellaneous documents in Delaware as it relates to the cadastral landbase.

School district  

  • Consists of all the school districts in Delaware

 

Street centerline 

  • Depicts the center of pavement on all roads, public and private. Intended use is for appraisal mapping, 911 emergency response, accident reporting, geocoding, disaster management, and roadway inventory.

 

Subdivision

  • All of the subdivisions and condos that are recorded in the Delaware County Recorder’s office.

 

Survey

  • Point coverage that represents surveys of land in Delaware. 

 

Tax district

  • Consists of all tax districts within Delaware county
  •  



Smith Data Set week 7

Address point: all the address in the county, freshly published monthly

Annexations: This data is the annexations and boundaries freshly published monthly.

Building Outline 2023: the outline for all structures in the county.updated after new buildings or structures have been erected 

Condo: This data is all condos in the county.

E911: can reverse geocode. It is used for emergencies typically and is updated daily, and published monthly.

GPS: highlights all GPS monuments in the county that were established between 1991-1997.

MSAG: It consists of 28 political jurisdictions and was created to help facilitate the process of locating the county’s boundaries.

Municipality: This is all of the municipalities in the county.

Parcel: Polygons that are all cadastral parcel lines in the county. maintained by the county GIS office/are stored in the recorder’s office.

Precinct: This is the voting precincts of the county.

Recorded Document: Points representing recorded documents in a number of county records

School District: This is all the school districts in the county

Street Centerline: Location Based Response System centerlines are the center of pavement on roads in the county.

Subdivision: This is all subdivisions and condos in the county.

Survey: A shapefile of point coverage representing surveys of land.

Tax District: This is all tax districts and has been defined by the Real Estate Office



Henderson week 7- data inventory

Address Point: These are all certified addresses in the county, they are indicated at the building centroid. They are most commonly used for disaster management and emergencies.

Annexations: This data is the annexations and boundaries and is constantly being updated. The data is published monthly.

Building Outline 2023: This is the outline for all structures in the county. It is updated after new buildings or structures have been created.

Condo: This data is all condos in the county. It is recorded by the county recorder office.

E911: This uses the address points dataset. This data makes it possible to reverse geocode a set of coordinates. It is used for emergencies typically and is updated daily, and published monthly.

GPS: This data highlights all GPS monuments in the county that were established between 1991-1997.

MSAG: MSAG or Master Street Address Guide is a data featureset. It consists of 28 political jurisdictions and was created to help facilitate the process of locating the county’s boundaries.

Municipality: This is all of the municipalities in the county.

Parcel: Polygons that are all cadastral parcel lines in the county. The are maintained by the county GIS office and are stored in the recorder’s office.

Precinct: This is the voting precincts of the county. It is under the direction of the Board of Elections and is maintained by the GIS office.

Recorded Document: Points representing recorded documents in a number of county records. They can include annexations, surveys, and subdivisions in the county.

School District: This is all the school districts in the county and was created by the auditor’s office.

Street Centerline: The LBRS or Location Based Response System centerlines are the center of pavement on roads in the county. It was created using field observation and is intended for geocoding, disasters and emergencies.

Subdivision: This is all subdivisions and condos in the county.

Survey: A shapefile of point coverage representing surveys of land. Old survey volumes are not included, all of the points are of surveys as of May 2004.

Tax District: This is all tax districts and has been defined by the Real Estate Office; it is dissolved by the Tax District Code.