Geography 291: Geospatial Analysis with Desktop GIS

Week 6 Work:

Chapter 7:

This chapter/ tutorial was actually a lot of fun to work with. It felt a lot like working in Adobe Illustrator, with making the point lines, and moving the features. I also felt very fancy using the Cartography tool, and “improving the aesthetic” of my map/ its lines. Learning how to edit, delete and move the buildings around was super cool. This is extra useful in the world we live in today, with construction and deconstruction always affecting/ moving locations and landmarks. It was interesting to think that no matter how “good” a map might be, there can still be aspects of it that are warped between the system and ground map. Being able to fix that distortion can be an extremely invaluable tool. Creating features is also very useful when starting a map from scratch, or if the project doesn’t include the needed feature class. Because this chapter dealt with a lot of permanent modifications, it included good advice to keep an unedited version of whatever map you’re working on in case of any errors. That way you can just go back to the original file and start the map over again. Using a style of system work that mimics the work of Architects and professional location planners at the end made the assignment feel very professional. Like, it ran us through what the professionals do, giving us an idea of what to expect if any of us wish to go to that level.

Chapter 8:

This chapter went very local, working primarily with Zip Codes and Counties. Using geocoding to map the charts of zip codes and counties, the chapter bridged the gap between chart data and actual geographic locations, inputting them into analyzable features on the maps. This chapter introduced Match Scores, something that I am still trying to understand a little bit more. Essentially, the match score shows the percentage of accuracy of an address when evaluated with a reference. Around 85%-98% is usually an acceptable score range, but in some situations it’s ideal to try to have a perfect 100% match. I did have a few issues with this chapter when trying to Rematch Addresses. Whenever I would try to click the map to set the rematch, I would continue to get pop-ups and the rematch selection wouldn’t actually register. I turned off the pop-up setting from the map (temporarily) and it seemed to bypass the issue. As I stated before, I believe that longer tutorials are more beneficial to my learning process- and this was heightened using chapter 8. As this chapter only actually has 2 assignments built into it, they both build off of every step followed in the textbook. If something was missed, or incorrectly done, the entire assignment would be messed up and needed to be redone. This was a bit annoying, but in the end the repetition definitely aided my understanding of the topics taught in this chapter.

Chapter 9:

Learning about and setting up buffers was something that was briefly recapped in some of the much earlier chapters, so I had some initial knowledge on them. My first thought when working with them was that they’re bubble letters for feature plots! These bubbles were quite fun to set up, and I can visualize a lot of reasons why someone would use them on a map- like finding a specific feature within a distance from certain features, and gathering data on what’s outside these zones as well. It’s very neat that the buffers can have multiple layers of distances applied to a single feature set at the same time. And although I actually like the “target” look on the map, and how it visibly shows the change in distance on the plot, I can understand that there might be reasons to make a single “multiple ring” buffer containing both blended together. A small note for the future, that using Optimized seed in the Multivariate Clustering tool is the setting that should be used when making your own projects/ data. This entire chapter was extra visually appealing for some reason, the colors used as symbology on the features fit well, and I absolutely love the way the map looks with the Locations-Allocation assignment with the lines diverging from the “ideal” location points. That entire assignment was fascinating as well, how the system was able to calculate the best locations of pools from the data collected and accessed. It was a great representation of the ability of GIS to manipulate datasets to create purpose driven maps. The system works for real world problems, using analysis to work out relationships between features/ points, and provide a simple answer to questions asked about data.

 

Week 7 Work:

The Delaware City maps have been downloaded, and inserted onto a created GIS Pro map for the final project map. I moved the maps around adjusting their map display from the drawing order to see which layering was best, featuring all the needed datasets. The Parcel map is very interesting to explore, with how much detail it has within its data and display. I generated ideas for my final project and evaluated each dataset’s information.

The Parcel map is managed daily by the Delaware County’s Auditor GIS Office, with data kept by the Delaware County Recorder’s Office. It shows clearly defined boundaries of land plots and features from all around Delaware. It is packed to the brim with every single road, building and section of land, complete with their IDs, data, and building names. I will note that the map looks like it could be a little bit off, with some features not in the correct location on the map, or it could simply be the way I have it layed out creating this illusion. This dataset is key to working on the “What’s Inside?” section of the final project, as it requires the data being gathered to be set from within, or inside a parcel of Delaware land.

The Hydrology map shows all major waterways of the Delaware County, and was made in July of 2022 with no updates since then. This dataset could be useful if inspired to work with runoff into waterways, or a specific project with water. However, it may not be entirely useful for other areas of mapping besides acting as a location identifier. 

The Street Centerline map is a highly adaptable map with many ways to use it and displays exactly what it sounds like, all the public and private roads located within the Delaware County district. Made from data collected by The State of Ohio Location Based Response System (LBRS), the map remains updated daily for most aspects except for the monthly 3-D model updates. This map is great for landmarking, and making the map easy to understand if reading it for specific locations. This map can be useful for a number of things ranging from emergency response maps and ranges, to appraisals and accident reports. 

PLSS: This data is called the public land survey systems where all the public land is visible in Delaware county. This data is useful for both U.S and Virginia military districts and it is updated monthly. 

Zip Code: This data set contains all the zip codes in Delaware county. Some of the zip codes were manually created because they did not automatically appear on the system. They also used U.S postal service and other sources to gain the information. This map is also updated monthly.  

School District: This dataset contains all school districts within Delaware County. The data comes from the Delaware County school district records. It is updated and published monthly.

Township: Includes information of 19 different townships in Delaware County. It is also updated when needed and published monthly. 

Delaware County E911 Data: This data includes information on all certified addresses within Delaware County. It contains information regarding 911 agency information to improve their services. It is also updated when necessary and published monthly.

Building outline 2021: Data consists of all building outlines in Delaware county. The most recent update was in 2021 but it is updated as needed. 

Original Township: I couldn’t find any information regarding this dataset. 

Recorded Document: This includes points which represent recorded documents in Delaware county’s Recorder’s Plat Books. This is helpful when it comes to locating specific documents that may be scattered throughout the county. This is updated weekly and published monthly. 

Building Outline: I couldn’t find any information about this dataset. 

Dedicated ROW: Represents all the Right-of-Way paths in Delaware county. Information was gathered from Delaware’s County Parcel data. This is updated daily and published monthly. 

Building Outline 2023: Shows all the building outlines in Delaware county from 2023.

Precincts: Included information about voting Precincts in Delaware county. Information was gathered using Delaware County Auditor’s GIS from the Delaware County election board. It is updated when needed and is published when needed by the election board.

Delaware County Contours: It looks like the data is from 2018 and it shows the Two Foot Contours for Delaware County.

Street Centerline: Includes data on paved public and private roads within Delaware county. It is used to support road safety and improve 911 services, as well as ensuring the roads are up to date. It looks like it is updated annually but the data is published monthly

Condo: Includes data of all condos within Delaware county. 

Parcel: Includes data on all registered parcel lines in Delaware County. The data was collected through the Delaware County Auditor’s GIS office. It is monitored daily and is published monthly 

Subdivision:  Includes data of all subdivisions and condos from the Delaware County recorder’s office. It is updated daily and published monthly. 

Tax District: Includes information of all tax districts in Delaware county. The data is recorded on the Tax district code. It is updated as needed and published monthly. 

Address point: This includes information of all registered  addresses in Delaware county. It helps 911 agencies to find the most suitable places for their job. It is updated daily and published monthly.

Map sheet: I could not find any information about this set.

Hydrology: includes all major waterways in Delaware county. Information was gathered and updated using the LIDAR enhanced dataset in 2018. It is updated as needed and published monthly.

This week I basically just downloaded all the data needed for my final project. I explored the Delaware County, Ohio GIS Data Hub and looked through the datasets available in the “All Files” section. I downloaded Parcel, Street Centerline, Hydrology, and Township Boundary shapefiles. I also extracted them and exported them to ArcGIS. In terms of what they each do: Parcel outlines property boundaries across the county, Street Centerline layer displays the county’s road system, and Hydrology layer identifies streams and other water features. For my final project I also had to download the subdivision shapefile because I decided to  do”Mapping Change” as well as “Making New Shape Files from Existing Shape Files”.

Zip code:Contains all the Zip codes in Delaware County, Ohio. It was made by using data from the Census Bureau and the US Postal Service from 2000 and was created in 2005. It is not regularly updated but is updated on a when-needed basis, using the US Postal Service, which is updated monthly.   

School District: This holds data that pertains to all schools within Delaware County, and is updated on a as needed basis, and issues the data from Delaware County Auditor’s parcel records to create it. 

2021 Imagery: Imagery that was captured in 2022 and last updated then as well. 

2022 Leaf-on Imagery: Imagery created in 2022 that has a different resolution of 12in 

2024 Aerial imagery: data that was obtained during the spring of 2024 and contains 3in an aerial view. 

Address Point: Locates the individual building location as accurately as possible while using data from The State of Ohio Location Based Response System and through a partnership between The State of Ohio and Delaware County. 

Annexation: This contains information about conforming boundaries and annexations from and that date all the way back to 1853. 

Building Outlines DXF + Building Outline 2021 + Building Outline 2023:The DXF uses CAD drawings and was last updated in 2020, while 2021 and 2023 are new updates. The building outlines that were updated in two years after their respective names,while being service features files. 

Condo: This data consists of condominium polygons that assess and give a view to the individual units within a condo. This uses data from the Delaware County Records Office and was last updated a few days ago 2/27/2026 

Dedicated ROW: Shows all Roads within Delaware County that consist of Right-of-ways, It is updated on a daily basis and published updates once a month and it was published in 2020 

Delaware County Contours:A geodatabase file last updated in 2021 that shows the ‘contours’ of delaware county that is basically showing the terrain, the elevation etc. 

Delaware county E911 Data:Uses data and address points to locate the centroids of buildings, which is important for emergency services. It was also published in 2021 but is also updated daily and published on a monthly basis. 

Farm lot:This was built with the intention of showing military farmlots in Delaware County. It is updated on an as needed basis whenever new surveys are done on these areas. It was 2020 and was last updated in February of this year. 

GPS +Delaware County GIS Data Extract Web Map:Identifies monuments from 1991 – 97 and is updated on an as needed basis. Also hasn’t been updated since 2021. 

The extract web map of Delaware County in GIS that is able to be extracted into a variety of formats. 

Hydrology: This data set shows the major ‘water ways’ within the Delaware County Region, also updated on an as needed basis. 

Fall Background: A background for fall that was created in 2019 and last updated then as well. 

MSAG:A master street address guide that depicts the different political jurisdictions. 

Map Sheet: All map sheets within Delaware county. Created in 2020 but most recently updated in February. 

Municipality:Pretty self-explanatory it is basically data that consists of all the municipalities within Delaware County. Created in 2020 and last updated in February as well. 

Original Township + Township: The original township lines of Delaware County before tax districts changed these lines. Township consists of the 19 different townships that makeup the entirety of Delaware county. 

Parcel:Parcels are polygons that represent all cadastral parcels which are 

Precincts: Shows the division between the voting precincts in Delaware County. 

Railroads: Shows a view of all railroads within the Delaware County lines. 

Recorded Document:A sum of miscellaneous recorded documents in relation to Delaware county. It is updated on a weekly basis. 

Street Centerline + DXF Centerlines:This uses LBRS to depict pavement centers of public and private roads with intentions to support appraisal mapping and emergency response services. DXF Uses field surveys 

Subdivision: This data contains information in regards to all recorded subdivisions and condos in Delaware county.  

Survey:These are survey points that represent shapefiles of surveys of the land. Old volumes are not currently included in this. 

Tax District:Includes all and separates the tax differences within Delaware County. It was published in 2020 and recently updated last month on an as needed basis  

Chapter 4:

Chapter 4 gets into the databases/ Geodatabases. A very helpful thing to understand when working within ArcGIS- they are the central storage bank for all information/ data that pertains to a certain organization or project. File geodatabases have no limits to the size or amount of feature classes or raster datasets could be stored in it, and it keeps all your project information in one easy to access place! Over the course of the next few chapters, I used the geodatabase for each chapter to select any files I needed, quickly. It’s good to learn how to convert external files into the proper format for the file geodatabase, so you know how to work on a map from an external source. This is primarily because when working on a project from scratch, a lot of the data needed might not be available from the Esri/ ArcGIS collections, and would prompt the need for an outside source (like a census bureau tract for example). There was a bit of bookkeeping this chapter, with moving files around and developing understanding of these databases. One thing I learned that I found very helpful was that if you delete something from the contents pane, it is still filed in the geodatabase and can be brought back to the map. While on the other hand, if something is deleted straight from the database, that is permanent. As someone who is very nervous when deleting anything on a project, understanding how the files work within their environment and where backups are is good knowledge to have! I also liked that the system won’t let you accidentally delete any important keys from the field table. This is very reassuring as working with the tables can get somewhat confusing, and I’m always worried I’ll hit a button and accidentally erase a needed field. It was also interesting to learn that GEOID and GEOIDNumber are technically the same data, but two different ways that the field can be categorized. While they are the same kind of attribute, they cannot be joined together due to their different codes (GEOIDNum- 4048 vs GEOID- 04870). Diving deeper into the Python language and SQL helps me develop a stronger understanding of what I am doing when adjusting the code on my map. Like understanding that using ‘OR’ within a data query is essentially saying and/ adding the two fields instead of using one or the other like it sounds- and using ‘AND’ means the opposite, picking one or the other. Using the SQL and Definition Query to plot out exact pockets of dates and times to find the specific data you’re looking for is especially important when you need a small time pocket of data from a larger scaled data set.

Chapter 5:

This chapter felt like we were learning how to read a map the “old-school” way, developing skills on reading and understanding the longitude and latitude, and positioning of locations. I appreciated that it explained map proportions and showed that most of the maps we’re taught about in school are technically all distorted/ inaccurate. I learned a new word that I actually quite like: Graticule. In regards to the longitude and latitude, a graticule is the coordinate point system. Chapter 5 gets back into the local versus world aspect of maps, detailing that certain maps work better on a smaller vs. a larger scale. For example, using localized projected coordinates for a smaller map such as Minneapolis or Hennepin works best due to its specialized data that focuses specifically on that region. This chapter also talked more about the file types, with specifics on shapefiles and the continued use of the geodatabase. I also learned how to access other websites to download their maps/ data- like the ArcGIS Living Atlas and dealing with the US Census Bureau again. At the end, I had a few issues when working on the joint data/ choropleth map section. The copied fields had been showing no data, and although I went back and repeated the steps from the start, the fields continued to not provide any data needed to even change the symbology into the graduated scale. 

Chapter 6:

I love how this chapter began with more examples of real-world applications with the GISystem. That it did not abandon the initial idea that Geospatial Analysis tools can be used for many more reasons than people would first assume. On tools, the chapter explores a lot more, various geoprocessing tools. Because there are so many tools within the GIS system, it’s very helpful that the tutorial runs through as much of them as possible. Giving more examples and definitions, and having us actively use and have our own “turn” at using the tools. Intersecting features was surprisingly simple, and although the chapter has a lot of assignments, they were all short and sweet. That being said, I believe I learn better from the longer tutorial assignments, where if something is done wrong at a certain stage, then any work that connects to that could be off as well. It raises the stakes, and makes me pay close attention to what the tutorial says, and what I’m doing in my project. Setting a Study Area was one tutorial that I found particularly useful. When working in a location (like New York City) that has an overwhelming amount of streets and attributes, blocking off a specific work area quiets the noise and makes everything easier to work through. On the topic of simplifying everything, putting all classes into one single feature class really keeps things decluttered and simple- definitely something I will take advantage of in the future. This chapter really showed how many different ways there are to combine features, maps and tables (like the Union tool, or Intersect tool).

I completely forgot to include this in my first week 7 post, so I made a part 2:

 

This week, I downloaded the available GIS data layers for Delaware County, Ohio. The three specific datasets I worked with were Parcel, Street Centerline, and Hydrology. Each of these layers provides different information that is useful for understanding how certain things are laid out across an area (Delaware). The Parcel data layer consists of polygon features that represent all cadastral parcel boundaries within Delaware County. The term “cadastral parcel” was something that I was unfamiliar with – it means a piece of land that contains fixed boundaries and is recorded in official land records. Upon further examination of the Delaware County Ohio GIS Data Hub, I discovered that his dataset is maintained by the Delaware County Auditor’s GIS Office and is based on officially recorded documents from the Recorder’s Office. 

The first layer I downloaded was the parcel layer. This layer is updated daily and is commonly used for property assessment and boundary mapping. Specifically, the layer provides an accurate representation of how land is divided throughout the county. The next layer downloaded was the Street Centerline data and it shows the centerlines of both public and private roads in Delaware County. This data is spatially accurate and is updated frequently to reflect changes in road infrastructure and addressing. Finally, the Hydrology data layer is a representation of major waterways within Delaware County, including rivers and streams. The hydrology layer is useful for understanding drainage patterns, as well as the relationship between land use/water resources. After downloading the Parcel, Street Centerline, and Hydrology datasets as shapefiles, I created a new ArcGIS Pro project and added all three layers to the map. Displaying these layers together allows for a better understanding of how parcels, roads, and waterways interact spatially across the county. This was a pretty easy map to create, and I got to choose my own colors for the symbols which was enjoyable.

 

 

Tax District
This data set contains tax districts in Delaware, OH. It is from the Auditor’s Real Estate Office. It is updated as needed.
Parcel
This data set contains the cadastral parcel lines in Delaware, OH. It is maintained by the Auditor’s GIS Office. Records are in the County Recorder’s Office, and individual records are in the CAMA system. It is updated daily.
Address Point
This data set is a representation of certified addresses in Delaware, OH. It is maintained by the Auditor’s GIS Office. The Address_Points layer is for appraisal mapping, 911, accident reporting, geocoding, and disaster management. It is updated daily.
Recorded Document
This data set consists of points that represent documents in the Recorder’s Plat Books, Cabinet/Sides, and Instruments Records. These documents include vacations, subdivisions, centerline surveys, annexations, and other documents. It is updated weekly.
Zip Code
This data set contains zip codes in Delaware, OH, and was created in 2005. Some places were either tax-exempt or had no zip codes, so they were manually populated. The layer was created from data from the Census Bureau, USPS, and tax mailing addresses from the treasurer. It is updated as needed.
School District
This data set contains the school districts in Delaware, OH. It is created from the County Auditor’s records. It is updated as needed.
Map Sheet
This data set contains the map sheets in Delaware, OH.
PLSS
This data set contains all the Public Land Survey System data in the US Military and Virginia Military Survey Districts of Delaware, OH. It is updated as needed.
MSAG
MSAG stands for Master Street Address Guide. This data set contains the 28 political jurisdictions in Delaware, OH. It was created for locating boundaries of cities, villages, and townships in the county. It is updated as needed.
Municipality
This data set contains the municipalities of Delaware, OH.
Farm Lot
This data set contains the farmlots in the US Military and Virginia Military Survey Districts of Delaware, OH. It is used to identify the farmlots and their boundaries. It is updated as needed.
Township
This data set contains the geographic boundaries of the 19 townships in Delaware, OH.
Street Centerline
This data set depicts center pavement on all roads in Delaware, OH. It was collected by field observation. It is used for appraisal mapping, 911, accident reporting, geocoding, disaster management, and roadway inventory. It is updated daily and the 3-D fields are updated annually.
Annexation
This data set contains annexations and conforming boundaries in Delaware, OH from 1853 to present day. It is updated as needed.
Condo
This data set contains the condominium polygons in Delaware, OH. The data is from the County Recorder’s Office.
Subdivision
This data set contains the subdivisions and condos in Delaware, OH. The data is from the County Recorder’s Office. It is updated daily.
Survey
This data set contains a shapefile of points that represent surveys of land in Delaware, OH. The data is from the Recorder’s office and the Map Department. Old Survey Volumes are not included. Some surveys are still being scanned. It is updated daily.
Dedicated ROW
This data set consists of right-of-way roads in Delaware, OH. It is updated as needed based on parcel data. All changes are recorded in the County Recorder’s Office and updated daily.
Building Outline 2024
This data set contains the outlines of all buildings in Delaware County. It was last updated in 2024 and is updated as needed.
Building Outline 2023
This data set contains the outlines of all buildings in Delaware County. It was last updated in 2023 and is updated as needed.
Railroads
This data set contains the railroad lines in Delaware, OH. It was digitized by the County Auditor’s GIS Office from ortho photography corrected from 1997 to 2002 and 2006.
Precincts
This data set consists of voting precincts in Delaware, OH. It is maintained by the County Auditor’s GIS Office. It is updated as needed.
Delaware County E911 Data
This data set contains an accurate representation of certified addresses in Delaware, OH. It is used for appraisal mapping, 911, accident reporting, geocoding, and disaster management. It is updated daily.
Building Outline 2021
This data set contains the outlines of all buildings in Delaware, OH. It was last updated in 2021 and is updated as needed.
Hydrology
This data set consists of major waterways in Delaware, OH. It was enhanced with LIDAR data in 2018. It is updated as needed.
GPS
This data set has GPS monuments established in 1991 and 1997 in Delaware, OH. The coordinates are in Universal Transverse Mercator Northing and Easting. It is updated as needed.
Delaware County Contours
This data set contains two foot contours from 2018.
Original Township
This data set contains the original boundaries of townships before tax district changes in Delaware, OH.

This week I explored the Delaware County Ohio GIS Data Hub and reviewed the available datasets under the “All Files” section. After reading through the data summaries, I downloaded the Parcel, Street Centerline, Hydrology, and Township Boundary shapefiles. I extracted the files and added them into ArcGIS Pro so I could look through the attribute tables and better understand what information is attached to each layer.

The Parcel layer is the most detailed dataset. It includes property boundaries across Delaware County and contains a large amount of attribute information, such as parcel identification numbers, ownership details, and land use classifications listed in the “class” field. This dataset will be especially useful for spatial selection and land-based analysis.

The Street Centerline layer shows the county’s road network, including road names and classifications. This will help provide reference on maps and will also be useful for buffering and proximity analysis.

The Hydrology layer includes streams and other water features throughout the county, which will support environmental and spatial relationship analysis. The Township Boundary layer defines township limits and will allow me to focus analysis within a specific administrative area.

For my final project, I plan to focus on Concept 3 (“What’s Inside?”) and Concept 4 (“What’s Nearby?”). These concepts will allow me to examine how parcels relate to township boundaries and water features, as well as analyze proximity to roads and streams using buffers. Overall, these datasets provide a strong foundation for meaningful spatial analysis in Delaware County.

Zip Code: This dataset contains all existing zip codes, covering different outlines of land, for Delaware county. It references a collection of data found on Census Bureau, the United States Postal Service, and tax mailing addresses. 

School Districts: A visual compellation of different school districts throughout Delaware county. Information on this dataset is updated regularly, sourced from Delaware County Auditor’s parcel records. 

Building Outlines 2023: This is a dataset that contains blocked out outlines for each building located within Delaware County up to the year 2023. 

Building Outlines 2021: This dataset contains blocked out outlines for buildings existing within Delaware county in the year 2021. 

PLSS: This dataset visually displays the Public Land Survey System, with the polygons representing data from the U.S military and Virginia military survey districts. The creation of this dataset aided in identifying the boundaries of the prior mentioned survey land. The data is updated when needed. 

Township: The data includes 19 townships that reside within Delaware county. In order to keep the information up to date, the data is updated when needed. 

2024 Aerial imagery: imagery captured in 2024 of Delaware county. 

Delaware County E911 Data: This dataset represents the different location based response system locations in place within Delaware county. Each address data-point is a different emergency response location. The information provided is intended to aid emergency responders in the closest response site from particular surrounding addresses. This information is updated daily. 

Original Township: A dataset that displays the state of Delaware’s townships before tax districts changed their shape. 

2021 Imagery (SID file): Imagery captured in Delaware County in 2021. 

Recorded Document: This is a dataset that is composed of points that indicate locations with recorded documents such as Plat’s books, slides, and instrument records. The records themselves consist of various surveys regarding different features within Delaware. The purpose of this dataset is to aid in the locating of different types of documents. 

Dedicated Row: The features that this dataset represents are the different lines that are designated the right of way within Delaware County. This information was created through daily updates. The changes made are sourced from Delaware county’s recorder office.

Precincts: The data from this set is in relation to differentiated voting precincts. The information is regulated by the Delaware county board of education. It is updated on a regular basis to keep the information up to date. 

Delaware County Contours: A datafile of the different elevation contours of the landscape of Delaware county as of 2018. The data is in Geodatabase format. 

Building Outlines DXF: An outline of buildings residing within Delaware. 

Street Centerlines DXF: Contains data that indicates the centerline of pavement in both public and private roads running through Delaware county. The dataset was created using building permit information.

Address Points DXF: This specific dataset includes information about location based addresses to increase accuracy. The information in this dataset was created by the state of Ohio and Delaware County, and is maintained using the Delaware County Auditors GIS office. 

Parcel: The dataset contains polygon information that outlines the parcels within Delaware county. Any changes within the dataset are done in reference to recorded documents, and information is maintained by Auditors CAMA. 

Street Centerline: Outlines are made that indicate the centerline of public and private roads within Delaware. The information is collected from field observations and existing addresses. 

Condo: A dataset that contains polygons that indicate the location of existing condos within Delaware County. The polygons have been sourced from Delaware County’s recorders office. 

Subdivision: This Data file contains a combination of both subdivisions and condominiums within Delaware County. The data is updated regularly in order to maintain accuracy. 

Address Point: This data file contains geographically accurate addresses for Delaware County. The information is upheld by the Delaware County Auditor’s office. This data is intended to support emergency first responders as well as other services that require geographic understanding. 

Map Sheet: This file contains all map sheets depicting Delaware County. 

Farm Lot: The datafile displays existing farmlots within Delaware County. The data is in correlation to both U.S military and Virginia military survey zones. This dataset was created to clarify the borders of the county’s farmland and military districts. 

Annexation: This file displays Delaware County’s annexations on a time frame from 1853 and up to present day. This data is updated when needed, particularly when annexations are recorded. 

Survey: This dataset contains dot style data features that represent different surveys of land across Delaware County. The displayed information is sourced from the Recorder’s Office. All of the surveys residing in the Recorder’s Office since 2004 are collected by GIS scanners. 

Tax District: This file displays all tax districts within Delaware. The information is described by Delaware County’s Auditor’s real-estate office. It is updated when needed. 

2022 Leaf-On Industry: Imagery taken of Delaware county from 2022 in high resolution. 

Hydrology: This dataset displays major waterways that exist within Delaware County. This information is updated when needed. 

GPS: This information depicts all GPS monuments that had been recorded between the years 1991 and 1997. This data is updated when it is deemed necessary.

 

This section of the data was easy upon learning about the add Data section. I had even took the time to modify the colors of the map to my personal liking.