(330)643-8361
175 South Main St.
mailing and physical address
Room 414
Akron
OH
44308
USA
Summit County Fiscal Office GIS
(330)643-2622
gis@summitoh.net
Monday - Friday, 7:30 AM - 4:00 PM
(330)643-2679
(330)643-2630
Summit County
Ohio
Akron
Barberton
Bath
Boston
Clinton
Copley
Coventry
Cuyahoga Falls
Fairlawn
Franklin
Green
Hudson
Lakemore
Macedonia
Mogadore
Montrose
Munroe Falls
Northfield
Norton
Peninsula
Reminderville
Richfield
Sagamore Hills
Silver Lake
Springfield
Stow
Tallmadge
Twinsburg
Old lots
Original townships
Connecticut Western Reserve
Congress Lands
Tract
Section
Lot
First township division
18th century
19th century
2005
None
The suitability of this dataset for any other uses beyond those specified in the Purpose section of this document is not guaranteed, and the user assumes all risk for such uses. Summit County, Ohio, assumes no legal responsibility for works derived from this dataset. This dataset should never be relied upon to establish with certainty the location of property lines or the location of any other feature in relation to a property line. To establish a property line, or the relationship of a feature to a property line, the services of a Professional Surveyor, registered to practice in the State of Ohio, must be employed.
Summit County Geographic Information Services
To provide the taxpayers and agencies of Summit County a First Townhip Divisions layer at a scale and accuracy useful for the relation of modern parcel maps to maps and legal descriptions that reference original township lots.
en
The Old Lots layer (sometimes known as First Township Divisions) contains polygons that depict the first (and in some cases the second) subdivision of townships in Summit County. This dataset is currently under development. Summit County was created from townships in two original subdivisions, the Connecticut Western Reserve, covering most of the county, and the Congress Lands, covering Green and Franklin Townships. The Western Reserve east of the Cuyahoga and the Old Portage Path (the western boundary of the United States at that time) was surveyed in 1796-97. The portion west of the of this line was not surveyed until after 1805. This is why the townships along this line are subdivided differently on opposite sides of the line. The Congress Lands were surveyed 1801-1803. Today, few records, and no known original monumentation, exist to register the location of the Old Lot boundaries in relation to Summit County's parcel maps.
200601
publication date
Irregular
Summit County Geographic Information Services
200601
vector digital data
Summit County Fiscal Office
Summit County Geographic Information Services
Edit_DB.FISCAL.Old_Lots
Old Lots
http://www.co.summit.oh.us
Microsoft Windows 2000 Version 5.2 (Build 3790) Service Pack 2; ESRI ArcCatalog 9.3.1.3000
-81.689804
-81.387171
41.351909
40.906242
2192433.500000
2274027.000000
453541.656000
615025.250000
SDE Feature Class
Parcel Lines
Parcel Regions
Allotments
(330)643-8361
175 South Main St.
mailing and physical address
Room 414
Akron
OH
44308
USA
Summit County Fiscal Office GIS
(330)643-2622
gis@summitoh.net
Monday - Friday, 7:30 AM - 4:00 PM
(330)643-2679
(330)643-2630
None
None
en
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
20100331
20171219
11060300
20190625
11342000
FALSE
20171219
11060300
FALSE
Old_Lots
002
2192433.500000
2274027.000000
453541.656000
615025.250000
1
Server=sumgisdbe; Service=sde:sqlserver:sumgisdbe; Database=parcels; User=parcels; Version=sde.DEFAULT
ArcSDE Connection
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Ohio_North_FIPS_3401_Feet
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.1'><WKT>PROJCS["NAD_1983_StatePlane_Ohio_North_FIPS_3401_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-82.5],PARAMETER["Standard_Parallel_1",40.43333333333333],PARAMETER["Standard_Parallel_2",41.7],PARAMETER["Latitude_Of_Origin",39.66666666666666],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",3734]]</WKT><XOrigin>-118963899.99900003</XOrigin><YOrigin>-96373799.999000013</YOrigin><XYScale>3999.9999999999991</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0020000000000000005</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102722</WKID><LatestWKID>3734</LatestWKID></ProjectedCoordinateSystem>
1.0
FGDC CSDGM Metadata
This dataset was originally compiled in an ESRI ArcGIS 9.1 LIBRARIAN database and is valid for the geometry rules pertaining to regions in ESRI's Coverage format. It was then exported to an ESRI ArcSDE 9.1 geodatabase, where further edits were made, that may or may not have been consistent with the rules for the original Coverage format.
In areas where complete, dataset is accurate as best can be determined from the source documentation. Errors may exist due to spatial inaccuracies, or lack of documentation. Any errors should be reported to Summit County GIS, with supporting documentation, so corrections may be made.
This dataset has been registered as closely as possible to the Summit County parcel maps, and inherits the parcel maps' spatial accuracy. (see metadata for Summit County's Parcel Lines layer, and standards for boundary surveys as set forth in the Ohio Revised Code and Summit County Conveyance Standards). How close this dataset, or the parcel maps, relate to the long-destroyed original survey monumentation is unknown.
Dataset contains no vertical component.
Dataset is still in progress.
Vector
Simple
FALSE
0
TRUE
FALSE
GCS_North_American_1983
NAD_1983_StatePlane_Ohio_North_FIPS_3401_Feet
coordinate pair
survey feet
0.000250
0.000250
North American Datum of 1983
Geodetic Reference System 80
6378137.000000
298.257222
Explicit elevation coordinate included with horizontal coordinates
1.000000
TRACT
TRACT
String
10
Summit County GIS
Text string.
A subdivision of a township. The exact definition varies by township. Usually a parcel designation given to a metes and bounds survey that consists of more than one parcel.
0
0
First Townhip Divsision
Feature Class
0
LOT
LOT
String
10
Summit County GIS
Text string.
A subdivision of a township. The exact definition varies by township. Usually a designation given to a single parcel.
0
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
SHAPE
Shape
Geometry
0
0
0
Feature geometry.
ESRI
Coordinates defining the features.
SECTION
SECTION
String
10
Summit County GIS
Text string.
A subdivision of a township. The exact definition varies by township. Usually the unit of subdivision of a township with boundaries conforming to the rectangular system of survey.
0
0
SHAPE_Length
SHAPE_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
SHAPE_Area
SHAPE_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
1.816
1.816
Version 6.2 (Build 9200) ; Esri ArcGIS 10.2.2.3552
parcels_PARCELS_Old_Lots
1
-81.689804
-81.387171
41.351909
40.906242
oldlots
oldlots
File Geodatabase Feature Class
dataset
EPSG
8.2.6
0
20171219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