Mazabras-Week 4

Chapter 1: 

I found chapter one to be pretty simple and straightforward in ARCOnline and was able to create all of the maps except one of them. I had a bit of trouble finding my information/data for the request and speeding map. This was the only issue that I had in this chapter and I think it is due to either my initial link to the data got messed up or the information was in the wrong place so I could not find it. 

Chapter 2: 

I would say this is the easiest one that I have done so far because I have also done this in a separate class with Krygier. I have done a lot of work in ARCPro now so finding where the toolbox is and the location of all the functions are pretty easy to find for me. For some of the measurements and population numbers I found the largest population, China to be 14,608,512. I was also able to get a couple of distances from the measure function so the distance between Toronto and NYC are 350 miles and Calgary to Toronto is 1627.86 miles. 

Chapter 3: 

This Chapter was going well until I got to the shapefile step because when I went to input the shapefile into the map there was no Shapefile to be found. The steps leading up to the shapefile went well, I was able to see the fips codes and how they divide each state, county and town up with different number codes. Below I have the catalog open in ARCPro where the shapefile should be, I am not sure why it is missing from the folder but this could be because the folder link to the map was incorrect or the file is in a different location.

Chapter 4: 

I feel like I have not linked any of these chapters correctly in ARCpro because everything was going well in the chapter until I got to open the attribute table and found that there was no domain section in the table view. Because the rest of the information is in the table I believe the table must have had a screw up because every other section is found in the table but the one DOMAIN section I was looking for. 

 

Chapter 5:

Some of the information found here are things like fatalities, thefts, riots and protests and this was also another easy chapter to get through. I believe I did 5b a little wrong because I see more points on my map then I do in the book but the function behind the data was pretty easy to follow. I will definitely be using these attribute table skills on my projects later on this semester. 

McConkey – Week 5

Chapter 6:

This chapter was meant to focus on collaborative mapping, using ArcGIS Pro, ArcOnline, and the app ArcGIS Field Maps to manipulate data (shapefiles), publish maps, and input data across interfaces. The chapter starts out okay but there’s a domino effect of errors that unravels quickly. I pretty much had the same issues that Holling and the others specified. For instance, I was able to get one tree symbol, but I wasn’t able to figure out how to change its status value or add more trees. I also had errors when trying to publish features such as the topography layer not being supported. I wasn’t able to figure out how to publish my map as the book instructs, so I eventually was not able to proceed through the rest of the chapter. Instead, I decided to read through the remaining instructions and follow them as much as I was able.

Chapter 7:

This chapter deals with geocoding or the process of transforming a description of a location such as a pair of coordinates, an address, or a name of a place to a location on the earth’s surface. This chapter has you analyze data from Houston, Texas to perform geocoding tasks such as symbolizing by color for median household income and creating buffers around bike lanes. Something was wrong with my median household income data and I wasn’t able to tell if it was joined properly. In summary, I did not have as many problems with this chapter compared to the others and I admired its examples of proximity analysis. 

Chapter 8:

Chapter 8 covers analyzing spatial and temporal patterns by having you create a kernel density map, perform a hotspot analysis, visualize the hotspot analysis in 3D, and animating the data. I came across a couple of problems with this chapter, but they were mostly manageable or resulted from my own errors. For some reason, I had more crimes for the robbery_jan layer when selecting by attribute than what appears in the book. I made sure the date range was the same, so I am not sure what went wrong. Animating the data was weird. I could not tell if the animation was just being choppy but running properly or whether I had messed up somewhere in the instructions. I retraced my steps, but I did not notice any errors. All in all, it was interesting to see how the interpretation of the map could easily change when converting it to 3D and by editing the symbology making the 3D map more readable.

Chapter 9:

Chapter 9 instructs how GIS can be used to determine which areas are most suitable for a land-use change/purpose, a common use for GIS. This chapter took me a while, although some of it was more so review for me as I have performed some of the many of the same functions under other GIS projects that also dealt with determining suitability. You first start out the chapter by learning how to use the Extract by Mask tool to clip a digital surface model or DSM. The chapter then teaches you how to merge raster layers (the DSMs) by using the Mosaic To New Raster tool. The rest of the chapter deals with analyzing the landscape for suitability through various means: aspect, slope, and hillshades. 

Chapter 10:

Chapter 10 details how to properly present your generated maps by showing you how to optimize your symbology and create a readable page layout. I had some troubles in the first half when altering the symbology, some resulting from the change in interface. One error I had was that the different values had the same color symbology even though I selected Unique Values. I figured out that I was editing the wrong layer because I had them named wrong. After I used the right layer, the problem solved itself and I was able to get different colors for the varying values. Formatting the page layout for the final maps was a review for me, but a much-needed one. I already knew how to add a north arrow and legend, but editing them as well as adding the spatial reference was informative. I had a problem adjusting the maps to the areas of interest so I adjusted the map manually by comparing them to the images in the book. My resulting maps resemble what the book has, but they are not exactly the same. In conclusion, this was a good chapter even though I encountered some problems, and I believe this is the best topic to end on.

Week 5: Delaware Data inventory – VanderVelde

1. Address Point: The Address_Points layer is intended to support appraisal mapping, 911 Emergency Response, accident reporting, geocoding, and disaster management. The layer provides the capability to reverse geocode a set of coordinates to determine the closest valid address and is intended to provide 911 agencies with information needed to comply with Phase II 911 requirements.

2.Annexation: This data set contains Delaware County’s annexations and conforming boundaries from 1853 to present.

3. Building Outline:  This dataset consists of building outlines for all structures in Delaware County, Ohio. The layer was originally created from 2008 Orthophotos.

4. Condo: This data set consists of all condominium polygons within Delaware County, Ohio that have been recorded with the Delaware County Recorders Office.

5. Delaware County E911 Data:  The Address_Points layer is intended to support appraisal mapping, 911 Emergency Response, accident reporting, geocoding, and disaster management. The layer provides the capability to reverse geocode a set of coordinates to determine the closest valid address and is intended to provide 911 agencies with information needed to comply with Phase II 911 requirements.

6. GPS: This dataset identifies all GPS monuments that were established in 1991 and 1997.

7. MSAG: The Master Street Address Guide (MSAG) polygon feature set of the 28 different political jurisdictions such as the townships, cities and the villages that make up Delaware County. This data set was created to facilitate the process of locating the boundaries of the cities, the villages, and the townships within Delaware County, Ohio.

8. Municipality: This data set consists of all municipalities within Delaware County, Ohio.

9. Parcel: This dataset consists of polygons that represent all cadastral parcel lines within Delaware County, Ohio.

10. Precinct: This dataset consists of Voting Precincts within Delaware County, Ohio.

11. Recorded Document: This dataset consists of points that represent recorded documents in the Delaware County Recorder’s Plat Books, Cabinet/Slides and Instruments Records which are not represented by subdivision plats that are active. They are documents such as; vacations, subdivisions, centerline surveys, surveys, annexations, and miscellaneous documents within Delaware County, Ohio. This dataset was created to facilitate the process of locating miscellaneous documents within Delaware County, Ohio as it relates to the cadastral land base.

12. School District: This data set consists of all School Districts within Delaware County, Ohio.

13. Street Center line: The State of Ohio Location Based Response System (LBRS) Street_Centerlines depict center of pavement of public and private roads within Delaware County. Address Range data was developed from data collected by field observation of existing address locations and by adding addresses using building permit information. Both versions of this layer are available on our website for download. The LBRS Street_Centerlines is a spatially accurate topologically correct representation of the road system. It is intended to support appraisal mapping, 911 emergency response, accident reporting, geocoding, disaster management, and roadway inventory that conforms to Ohio Department of Transportation Roadway Inventory Standards.

14. Zip Code:This data set contains all zip codes within Delaware County, Ohio. In 2003, Delaware County zip codes were carefully evaluated and cleaned-up based on cross referencing between the Census Bureau’s zip code file from the 2000 census, the United States Postal Service website, and tax mailing addresses from the treasurer’s office. The zip code layer was then created in 2005 by dissolving all Delaware County parcels by their property addresses. Tax exempt parcels and dedicated roads with no zip codes were manually populated based on their location within the zip code layer.

15. Subdivision: This data set consists of all subdivisions and condos recorded in the Delaware County Recorder’s office.

16. Survey: Survey points is a shapefile of a point coverage that represents surveys of land within Delaware County, Ohio. These surveys are found in documents in the Recorder’s office and the Map Department. At this time old surveys found in the Old Survey Volumes (1 – 11) located in the Map Department are not included.

17. Tax District: This data set consists of all tax districts within Delaware County, Ohio.

18. Delaware County Contours: 2018 Two Foot Contours & 2018 Two Foot Contours for Delaware County Ohio in File Geodatabase format.

19. PLSS: This data set consists of all the Public Land Survey System (PLSS) polygons in both the US Military and the Virginia Military Survey Districts of Delaware County. This data set was created to facilitate in identifying all of the PLSS and their boundaries in both US Military and Virginia Military Survey Districts of Delaware County.

20. 2022 Leaf-on Imagery: 2022 Imagery 12in Resolution

21. Dedicated ROW:This data set consists of all lines that are designated Right-of-Way within Delaware County, Ohio.

22. Original Township: This dataset consists of the original boundaries of the townships in Delaware County, Ohio before tax district changes affected their shapes.

23. Hydrology: This dataset consists of all major waterways within Delaware County, Ohio. This data was enhanced in 2018 with LIDAR based data.

24. Map Sheet: all map sheets within Delaware County, Ohio

25.Farm Lot: This data set was created to facilitate in identifying all of the farmlots and their boundaries in both US Military and Virginia Military Survey Districts of Delaware County.

26. Township: This data set consists of 19 different townships that make up Delaware County, Ohio.

Richardson – Week 6

Zip Code – this data set holds all of the Delaware county zip codes, and sections them into the land that is held under that specific zip code 

Recorded Document- this data set shows all points that are recorded documents in the City of Delaware’s County Recorder’s Plat Books, Cabinet/Slides and Instrument Records – including things such as vacations, subdivisions, centerline surveys, surveys, annexations, and miscellaneous documents. 

School Districts- this shows all of the various school districts that are within Delaware county. This includes all of Delaware city schools, sunbury schools, olentangy schools, and more. 

Map Sheet- this is all map sheets within Delaware County

Farm Lot – this shows all of the farm lots in Delaware county that have been identified by the US Military and the Virginia Military Survey Districts 

Township- this shows all 19 different townships that make up delaware county

Street Centerline- this data depicts all of the roads, both public and private, in the city of Delaware by showing the centerline of the roads. 

Annexation- this shows the Delaware County annexation and boundaries of land from 1953 and the present, that has been recorded with the delaware county recorder’s office, updated monthly

Condo- this data shows polygons that represent all of the condominiums in Delaware county that have been recorded with the delaware county recorder’s office. 

Subdivision- this data includes all of the subdivisions of condos that have been recorded with the delaware county recorder’s office 

Survey- this data is a shapefile that represents all of the land within Delaware county. It is represented through a point coverage shape file. 

Dedicated ROW- this data set is a display of all lines that are designated as “Right-of-Way” in Delaware County 

Tax District- this shows all of the different tax districts within Delaware county, published by the Delaware county suitors real estate office.

GPS- this data set shows all GPS monuments that were established in 1991 and 1997

Original Township- this data shows all of the original boundaries of the townships in Delaware County, before tax district changes shifted the shapes of the townships 

Hydrology- this dataset consists of all major waterways within Delaware County, and was enhanced in 2018 with LIDAR 

Precinct- this data consists of Voting Precincts within Delaware County Ohio, under the direction of the Delaware County Board of Elections

Parcel- this consists of polygons that represent all parcel lines within Delaware County

PLSS- this data shows all of the PubliC Land Survey System polygons designated by both US Military and the Virginia Military Survey Districts of Delaware County

Address Point- this data set shows all of the certified address points within Delaware County. This includes all homes, businesses, schools, etc with official address in Delaware County

Building Outline- this shows all of the building outlines in Delaware Ohio. This is different from the address point data set because two buildings might have the same USPS address point, but be two different designated buildings, for example on college campuses. 

DeMaggio- Week 5

Chapter 6: Chapter six focused on collaborative mapping as well as putting in data by hand through ArcGIS’s app, which I thought was fun to explore. For me, chapter six was pretty laid. back.

Chapter 7: Chapter 7 was focusing on Houston, TX, and its roads and bike paths throughout the city where we learned how to rematch/correct different addresses as well as use buffers, There weren’t any bugs for me in this chapter either so it was easy to explore different ways to do what the book was teaching us.

 

 

Chapter 8: Chapter eight had a lot of bugs for me which was frustrating, however, it still was a very insightful chapter. It was interesting when I learned how to separate the robbery points by time, similar to when we looked at the health of Illinois over several years. Using kernel density to find relations between the area and its crime rates was also interesting.

Chapter 9: This chapter gave me some trouble in the beginning, but I found out it wasn’t the files it was just user error, and then was able to move past and explore, overall this chapter was very fun in my opinion.

 

 

 

 

 

 

Chapter 10: Chapter ten was fine until exercise 10c where we had to format the two different maps onto a layout and publish it. I didn’t have many problems other than the distance markers, I tried several timesto configure them the way the book wanted and it never came out right, so I moved past that part and published the maps anyways.

Buroker Week 5 (Data Inventory)

  • Go to the Delaware County Ohio GIS Data Hub and click on All Files. Review the available data (click on each and read the Data Summary): create (in your posting for the week) the name of each data layer and a few sentences about the data:
  1. Zip Code: This file is a dataset with all the zip codes within Delaware County, Ohio. The zip code layer was created in 2005 and is updated as needed through coordinating with the US post office. 
  2. Recorded Document: This dataset serves to facilitate the process of locating miscellaneous Delaware County documents by showing the locations of said documents. Examples of documents include vacations, subdivisions, centerline surveys, surveys, annexations, etc.
  3. School district: This dataset shows all of the school districts in Delaware County.
  4. Map sheet: Is a dataset of all the map sheets in Delaware County. Map sheets are a series of map pages where each page shows a specific map extent.
  5. Farm lot: This map shows all the farm lots in Delaware County, as defined by the US Military and the Virginia Military Survey Districts. This data set can be used to identify farm lot locations within the County.
  6. Township: This data set illustrates the 19 different townships which make up Delaware County. 
  7. Street centerline: This map shows the center of pavement of public and private roads within Delaware County. This basically shows where all the public and private roads in Delaware County are located.
  8. Annexation: This data set maps annexations and conforming boundaries in DELCo from 1853 to present. It is updated when annexations or conforming occurs.
  9. Condo: This dataset lists/illustrates all condominium polygons that are recorded with the Delaware County Recorder’s office.
  10. Subdivision:  This dataset lists/illustrates all subdivisions and condos that are recorded with the Delaware County Recorder’s office.
  11. Survey: This shapefile shows point coverage that represents surveys of land within DELCo. The surveys are found in the Recorder’s office and in the Map Department.
  12. Dedicated ROW: This dataset contains all of the road right of way Polygons in the county.
  13. Tax District: This is the dataset which illustrates all of the tax districts in DELCo.
  14. GPS: This dataset identifies all of the GPS monuments established in Delaware County in 1991 and 1997. The coordinates are in U​​niversal Transverse Mercator Northing and Easting.
  15. Original Township: This dataset illustrates the original Delaware townships before they were changed by tax district changes.
  16. Hydrology: This dataset shows all of the major waterways within DELCo.
  17. Precinct: This dataset illustrates the voting precincts in the county and is maintained by the Delaware County Auditor’s GIS Office. 
  18. Parcel: This dataset holds all of the Parcels within Delaware County. They are stored as cadastral geomentries and are maintained by the Auditor’s GIS Office. Changes to the dataset are represented by recorded documents within the Recorder’s Office.
  19. PLSS: This dataset illustrates the Public Land Service System polygons for the county. It was created to help identify all of the PLSS and their boundaries within the US Military and Virginia Military Survey Districts of Delaware County.
  20. Address Point: This dataset is a spatially accurate representation of all the certified addresses within Delaware County and is maintained by the Auditor’s GIS office.
  21. Building outline: This dataset illustrates the building outlines for all structures in Delaware County. The layer was first created from 2008 orthophotos but was updated in 2010 and again in 2018. 
  22. Delaware County Contours: This dataset is 2018 two foot contours for Delaware County. It is in File Geodatabase format. I don’t know what they represent but I believe contours can represent continuous things like elevation, temperature, precipitation, pollution, or atmospheric pressure.

 

  • Create a new folder on the external drive you have been using for the GTK ArcGIS Pro tutorial. Call the new folder Delaware GIS Data. Download (to the Delaware GIS Data folder) (as .shp files) these three data sets: Parcel, Street Centerline, and Hydrology (search for this last dataset on the Delaware site if you don’t see it in the list). Create a new ArcGIS Pro project and open these three layers. Create a map that shows all three and save a screenshot and include it in your weekly posting.

Hollinger — Week 6

Zipcode: The zip code layer contains all the zip codes within Delaware’s county limits. Where there were tax-exempt parcels or roads without zip codes, the zip codes were manually allotted based on location in the layer.

Recorded Document: This data set contains locations of recorded documents (such as vacations, subdivisions, centerline surveys, surveys, annexations, and miscellaneous documents) from the Delaware County Recorder’s Plat Books, Cabinet/Slides, and Instruments Records. This layer/data was created to aid in the process of locating a number of documents within Delaware County.

School District: This layer/data contains all the school districts within Delaware County. 

Mapsheet: This dataset contains all the map sheets within Delaware County.

Farm Lot: This dataset contains all of the farm lots (as seen in the US Military and the Virginia Military Survey Districts) of Delaware County.

Township: This layer consists of the different townships in Delaware County. There are 19 total.

Street Centerline: The center of pavement for public and private roads is depicted in this layer. It was developed with data from field observation and addresses from building permits. 

Annexation: This layer depicts the annexations and conforming boundaries of Delaware after 1853. 

Condo: This layer has polygons for all the condominiums reported to the Delaware County Recorders Office in Delaware County.

Subdivision: This data has all subdivisions and condos that are recorded with the Delaware County Recorders Office.

Survey: This layer consists of points that represent all land surveys within Delaware County. The surveys are from the Recorder’s office and the Map Department and older surveys are not included.

Dedicated ROW: This layer depicts all lines that are Right Of Way in Delaware County. This data is created with Parcel data.

Tax District: This layer shows all of the tax districts within Delaware County as determined by the Delaware County Auditor’s Real Estate Office.

GPS: This layer depicts data points of all GPS monuments (est. 1991-1997) in Delaware County.

Original Township: This layer depicts the original boundaries of Delaware’s townships prior to change due to tax districts.

Hydrology: This layer depicts all major waterways in Delaware County. 

Precinct: This layer depicts all the voting precincts within Delaware County as defined by the Delaware County Board of Elections.

Parcel: This layer depicts all of the cadastral parcel lines in the form of Polygons in Delaware County. 

PLSS: This layer contains polygons that represent all the Public Land Survey System of the US Military and the Virginia Military Survey Districts of Delaware County. 

Address Point: This layer consists of points that represent all certified addresses in Delaware as defined by the  State of Ohio Location Based Response System (LBRS).

Building Outline: This layer depicts building outlines of structures in Delaware County.

dodds – week 4

1)GIS has 5 parts: hardware, software, data, procedures, and people. It manages, captures, and stores data. Spatial data is information that represents real world data. Attribute data is information about spatial data.

Base maps are provided by arcGIS online. it increases the accessibility of GIS and map making/spatial analysis.

Web maps allow information to be retally available to many people at once. On a similar note the open data movement provides the public with accurate data.

Point, line, and polygon data is called vector data.

Things that are similar can be grouped into layers on a map.

Raster is recorded or measured data for any location on the surface to form a digital surface.

2)simple technical elements of GIS: map, analysis, insert, and view.

context planes allow you to modify the map

Shows how to connect folders to maps

3)created multiple layers to compare the differences.

Talks about data relations

Changing attributes

4)using and creating geodatabase

learned how to limit geodatabase highlighting information I think is relevant

Create lines and polygons

5)played with commands, reminds me of coding in high school

Use tasks

Enjoyed the more technical side of gis

 

 

 

 

 

 

Once I worked past all the bugs I enjoyed getting to use the software and I found that there were somethings I could figure out without the book just by poking around. I enjoyed the work i could do with the data tables and reminds me of the coding class I took in high school. I wasn’t able to get the 3d model to work but I was able to work through most of the other stuff. I will take more screen shots in the next chapters I was quite focused on getting the work done.

Richardson – Week 5

Chapter 6

During this chapter, we went through how to map our own points on a graph, how to give them characteristics, and how to give them specific geographic coordinates. I thought it was really interesting using the app in order to add another point onto the map based on your current location, and then seeing this coordinate being replicated onto the ArcPro map. 

One part of the exercise that gave me some trouble was when I was creating the symbols in the Status column. When I tried to create the other symbols, it often would only replace the first symbol instead of adding on to create the Dead, Unknown, and Ingrowth points. Once I figured out how to do it differently, the new points were in a new column. When I moved this graph to ArcOnline as well, it was missing the original point ‘Planted’ but had all of the other 3 points available to plot. I had to recreate the first point and redownload the graph to ArcOnline. 

Chapter 7 

In this chapter, we examined data from the city of Houston, TX that looks at the local income of various neighborhoods, and the amount of roads, paths, bike friendly streets, etc for people to use. In 7b, we learned how to rematch correct locations with their addresses, that were originally mistakes in the data, and plot them on the map. In 7C, we mapped the bike lanes in the city, and created buffers for the paths within a 0.25 mile radius. We also mapped the number of bike stations in a given radius, to allow us to identify which areas of the city needed more accessibility to these resources. 

I did not have any trouble with this chapter, and running the programs, which was very helpful. 

Chapter 8 

In 8a, the only issue that I ran into was that I could not make a separate layer for robbery_jan. I had the January data points showing up in my graph, but when I exported the features into a separate layer, it would not separate the regular robbery data from the January robbery data. I had to continue the rest of 8A just using the regular robbery data wherever it asked to input robbery_jan. Therefore, when I went to input the robbery density using Kernel Density, it shows up as a much larger density than what it is supposed to look like, if we were only using the january robbery data.
I also ran into issues in 8B. When i ran the hot spot analysis, there were only about 12 tiles that were colored in as hot spots. All of the other tiles that were supposed to be in the frame were depicted as “Not Significant”. When it was time to examine the pop-up, there was no SOUCE_ID, or Shape_Length, or any other descriptions of the popup file besides the OBJECTID listed. Therefore, I could not finish this chapter due to the issues it was causing me, and I moved onto chapter 9. 

Chapter 9 

In 9A, we learned how to use the extract by mask tool to get the outline of a certain area to be the only one that was represented on the map. This is useful for when you are aiming to get the data on just one singular region only, and do not care about the data of the surrounding area, and do not want it distracting from the overall conclusion of your data. 

When using the Hillshade tool, there is no part of the area that is in complete shade at the first time. 

When adding the vineyard blocks and planning sites, there are 3 planning sites that have a great majority of low slope (less than 14 percent) topology. There are 3 planning spots that include at least some land that faces south, southeast, or southwest. There are 2 planning sites that might have an optimal slope and shadow combination, and thus would be the best spot for the vineyard, and that would be the plot on the far left, and the plot on the far right, both about half way down the slope of the hill. 

Chapter 10

In the first part of the exercise, we are asked to separate the 70 Terrestrial Fixed Wireless, and the 71 Terrestrial Fixed Wireless from the rest of the data. There are many areas starting at the south west corner of Utah, and going up the middle of the state where there is fixed wireless technology. We learned how to make the data fade in and out of the map in a specific region over time, to show the progression in one figure. In the second part of this chapter, we learned how to label specific location points on a map, and how to format these specific locations into names on the map. 

I ran into some issues when it was time for 10C, to create a presentation of the figures. The map was giving me trouble when I wanted to copy the scale bar into the figure, and when I wanted to put the north arrow into the figure as well. Every box that needed to be checked was checked, but it would not show up on the figure like it was supposed to. The name of the legend also would not disappear, even though I altered it maybe 8 different times. Overall, I still think I recognized how to insert a legend and a scale bar, it just simply would not work out for me.

Munroe – Week 6

Zip Code: Contains all zip codes in Delaware County. Created in 2005 by dissolving all parcels in the county by property address with tax exempt parcels and dedicated roads with no zip codes being manually populated. Published monthly.

Recorded Document: Contains points that represent recorded documents in the Delaware County Recorder’s Plat Books, Cabinet, Slides and Instrument Records not represented by subdivision plats that are active. Documents such as vacations, subdivisions, centerline surveys, surveys, annexations and miscellaneous documents. Updated on a weekly basis and published monthly.

School District: Contains all school districts within the county. Created via the Delaware County Auditor’s parcel records of the districts. Updated on an as-needed basis and published monthly.

Map Sheet: Contains all of the map sheets of Delaware County. A map sheet is a single map or chart in a map series, such as a USGS 7.5-minute topographic map, or printed map.

Farm Lot: Consists of all the farm lots in both US Military and the Virginia Military Survey Districts of Delaware County. Data is maintained on an as-needed basis where new surveys are recorded.

Township: Consists of 19 different townships that make up Delaware County. Dataset is updated on an as-needed basis and published monthly.

Street Centerline: Contains a spatially accurate topologically correct representation of the road system in Delaware County. Depicts center of pavement with public and private roads with address range data developed from data collected by field observation of existing address locations and manual addition from building permit information. Supports appraisal mapping, 911 emergency response, accident reporting, geocoding, disaster management and roadway inventory given to ODOT Roadway Inventory Standards. Updated on a daily basis for all fields but 3D, and published monthly. 

Annexation: Contains Delaware County annexations and conforming boundaries from 1853 to present day. Updated on an as-needed basis and published monthly.

Condo: Consists of all condominiums within Delaware County.

Subdivision: Consists of all subdivisions (which there’s a lot of) within Delaware County. Updated on a daily basis and published monthly.

Survey: Shapefile of land surveys in Delaware County using point coverage. Old surveys have been scanned from the map department and added in. All surveys after May 2004 were and are being scanned by the map department. Updated on a daily basis and published monthly.

Dedicated ROW: Consists of all lines that are designated Right of Way within Delaware County. Updated on an as-needed basis and published monthly.

Tax District: Consists of all tax districts in Delaware County and defined by the Delaware County Auditor’s Real Estate Office and dissolved on the Tax District code. Updated on an as-needed basis and published monthly.

GPS: Consists of all GPS monuments established between 1991 and 1997. Updated on an as-needed basis and published monthly.

Original Township: Similar to the township layer, but only using the original townships from Delaware County. Updated on an as-needed basis and published monthly.

Hydrology: Contains all major waterways in Delaware County, enhanced by LIDAR data in 2018. Updated on an as-needed basis and published monthly.

Precinct: Consists of all voting precincts in Delaware County. Maintained by the Delaware County Auditor’s GIS Office with the direction of Delaware County Board of Elections. Updated on an as needed basis and is published as needed by the Delaware County Board of Elections. 

Parcel: Consists of polygons that represent parcel lines of Delaware County, maintained by the Delaware County Auditor’s GIS Office. Represented by recorded documents in the Delaware County Recorder’s Office. Maintained on a daily basis and published monthly.

PLSS: Consists of all Public Land Survey System polygons in both the US Military and Virginia Military Survey Districts of Delaware County. Maintained on an as-needed basis where new surveys have been recorded, updated on an as-needed basis and published monthly. 

Address Point: State of Ohio Location Based Response System Address Points dataset is spatially accurate representation of all addresses in Delaware County. Maintained by Delaware County Auditor’s GIS Office. Intended to support appraisal mapping, 911 emergency response, accident reporting, geocoding and disaster management. Updated on a daily basis and published monthly. 

Building Outline: Consists of building outlines for all structures in Delaware County. Created in 2008 from Orthophotos. Updated on an as-needed basis and is published monthly.

Delaware County Contours: Consists of two-foot contours to show topographical and elevational changes in Delaware County.