Carroll County planimetric features were created using the 2023 MD Statewide aerial photography. Utility poles were part of this project completed by Sanborn. The hope is to update this feature with each MD Statewide aerial flight.

WEC Poles (Structures) are used of electrical distribution management.DISCLAIMER VCGI and the State of VT make no representations of any kind, including but not limited to the warranties of merchantability or fitness for a particular use, nor are any such warranties to be implied with respect to the data.

INTROThis dataset--UtilityTransmit_VEC, includes 2 Vermont Electric Cooperative, Inc. (VEC) layers. 1) Primary Overhead and Underground Distribution Lines (Utility_VEC_DISTLINES_line). 2) Poles (Utility_VEC_POLES_point).Distribution lines were drawn from pole to pole based on GPS pole locations.VEC’s poles were collected via submeter accurate GPS starting in 2000. More recent locations are being collected via consumer and submeter accurate GPS. Pole locations and attribute data are updated throughout time as poles are changed, or lines are added or retired. Attributes are updated in the office and through inspections in the field.PURPOSEGeneral planning. HISTORYLines were submitted to VCGI for posting to data portal in 2015 and were re-posted w/ updates multiple times between 2015 and 2019 (last post on 2019-03-15).On 2020-10-20, VEC sumitted pole data to VT Dept. of Public Service for posting to VT Open Geodata Portal. In posting, this dataset was renamed from UtilityTransmit_VECDISTLINES to UtilityTransmit_VEC. It's line layer was renamed from Utility_VECDISTLINES_line to Utility_VEC_DISTLINES_line. The poles layer was added named Utility_VEC_POLES_point.DISCLAIMERVCGI, VEC, and the State of VT make no representations of any kind, including but not limited to the warranties of merchantability or fitness for a particular use, nor are any such warranties to be implied with respect to the data. LINE FIELD DESCRIPTIONSGS_SUBTYPE: Distribution line sub-type category. 1 = Overhead. 3 = Underground.GS_PHASE: Distribution line phase. 1 = Single phase. 2 = Two phase. 3 = Three phase.POINT FIELD DESCRIPTIONSThe list below depicts the relationships between the fields in this layer and the fields defined in the Vermont Utility Pole data standard. List items follow a

Vermont pole owning electric utilities Green Mountain Power (GMP) and Vermont Electric Coop (VEC) have adopted similar amendments to their pole attachment tariffs, approved by the Vermont Public Utility Commission (PUC) to provide a credit toward the cost of utility pole makeready costs. These tariffs can be found at the links below:GMP Tariff: Vermont PUC docket 21-0546VEC Tariff: Vermont PUC docket 21-0807From the Tariffs: The Program will be offered for three years and will provide support on makeready costs to the first broadband provider that proposes to offer broadband service to an unserved location (defined as service less than 4/1) provided that location is not part of an application submitted prior to the effective date of the Tariff Rider, nor included in any State or federal subsidy program award that has been issued or applied for prior to that date. The maximum amount GMP will credit the provider for each unserved location within a pole attachment application is $2,000 but that amount may be reduced depending on a true-up after actual costs are known. In no event can an application’s make-ready cost reduction exceed the actual cost of work.This preliminary dataset relates locations considered to be eligible for this program. These locations were drawn from the 2021 Broadband Status dataset. From that dataset, locations lacking service at 4/1 Mbps and that we not part of the Connectivity Initiative 2020 or the FCC Rural Digital Opportunities Fund grant programs were selected for this dataset. The table below lists the quantity of eligible locations in this dataset in each Vermont town. TOWNNAME GMP VEC Total

ADDISON 23

23

ALBANY

3 3

ALBURGH

19 19

ARLINGTON 63

63

ATHENS 1

1

AVERILL

8 8

AVERYS GORE

8 8

BAKERSFIELD 4 8 12

BARNARD 4

4

BARNET 42

42

BARRE TOWN 2

2

BARTON

20 20

BELVIDERE

16 16

BENNINGTON 64

64

BENSON 81

81

BERKSHIRE

24 24

BERLIN 46

46

BETHEL 14

14

BLOOMFIELD

49 49

BOLTON 5 2 7

BRADFORD 61

61

BRAINTREE 11

11

BRANDON 45

45

BRATTLEBORO 26

26

BRIDGEWATER 5

5

BRIDPORT 49

49

BRIGHTON

41 41

BRISTOL 12

12

BROOKFIELD 10

10

BROOKLINE 5

5

BROWNINGTON

3 3

BRUNSWICK

30 30

BUELS GORE 3

3

CABOT 13

13

CAMBRIDGE 2 262 264

CANAAN

32 32

CASTLETON 36

36

CAVENDISH 22

22

CHARLESTON

37 37

CHARLOTTE 12

12

CHITTENDEN 50

50

CLARENDON 30

30

COLCHESTER 31

31

CONCORD 92

92

CORINTH 79

79

CORNWALL 11

11

COVENTRY

25 25

CRAFTSBURY

45 45

DANVILLE 107

107

DERBY

87 87

DORSET 40

40

DOVER 3

3

DUMMERSTON 84

84

DUXBURY 46

46

EAST HAVEN 5

5

EAST MONTPELIER 2

2

EDEN

83 83

ELMORE 1

1

ENOSBURGH

1 1

ESSEX 38 9 47

FAIR HAVEN 26

26

FAIRFAX 2 1 3

FAIRFIELD 13 10 23

FAIRLEE 19

19

FAYSTON 13

13

FERDINAND

8 8

FERRISBURGH 95

95

FLETCHER 4 8 12

FRANKLIN

3 3

GEORGIA 12 2 14

GLASTENBURY 1

1

GLOVER

39 39

GOSHEN 12

12

GRANBY 19

19

GRANVILLE 6

6

GROTON 32

32

GUILDHALL 7 2 9

GUILFORD 65

65

HALIFAX 27

27

HANCOCK 9

9

HARTFORD 29

29

HARTLAND 15

15

HINESBURG 3 8 11

HOLLAND

43 43

HUBBARDTON 79

79

HUNTINGTON 1 9 10

HYDE PARK

15 15

IRA 3

3

IRASBURG

10 10

ISLE LA MOTTE

5 5

JAMAICA 69

69

JAY

8 8

JERICHO 4 57 61

JOHNSON

67 67

KILLINGTON 2

2

KIRBY 35

35

LANDGROVE 1

1

LEICESTER 12

12

LEMINGTON

32 32

LEWIS

9 9

LINCOLN 6

6

LONDONDERRY 18

18

LOWELL

17 17

LUDLOW 4

4

LUNENBURG 74

74

LYNDON

1 1

MAIDSTONE

80 80

MANCHESTER 42

42

MARLBORO 34

34

MARSHFIELD 27

27

MENDON 25

25

MIDDLEBURY 37

37

MIDDLESEX 3

3

MIDDLETOWN SPRINGS 3

3

MILTON 28 1 29

MONKTON 16

16

MONTGOMERY

62 62

MONTPELIER 1

1

MORETOWN 8

8

MORGAN

56 56

MORRISTOWN

13 13

MOUNT HOLLY 2

2

NEW HAVEN 32

32

NEWARK

10 10

NEWBURY 90

90

NEWFANE 87

87

NEWPORT CITY

7 7

NEWPORT TOWN

46 46

NORTH HERO

3 3

NORTHFIELD 29

29

NORWICH 5

5

ORWELL 131

131

PANTON 7

7

PAWLET 49

49

PEACHAM 28

28

PITTSFIELD 2

2

PITTSFORD 63

63

PLAINFIELD 6

6

PLYMOUTH 4

4

POMFRET 10

10

POULTNEY 76

76

POWNAL 52

52

PROCTOR 2

2

PUTNEY 71

71

RANDOLPH 3

3

READING 2

2

READSBORO 26

26

RICHFORD

8 8

RICHMOND 1

1

RIPTON 45

45

ROCHESTER 19

19

ROCKINGHAM 40

40

ROXBURY 78

78

ROYALTON 5

5

RUPERT 96

96

RUTLAND TOWN 1

1

RYEGATE 96

96

SAINT ALBANS TOWN

3 3

SAINT GEORGE

1 1

SAINT JOHNSBURY 33

33

SALISBURY 128

128

SANDGATE 47

47

SEARSBURG 17

17

SHAFTSBURY 81

81

SHARON 1

1

SHEFFIELD

35 35

SHELBURNE 19

19

SHELDON 4 6 10

SHOREHAM 55

55

SHREWSBURY 7

7

SOMERSET 14

14

SOUTH BURLINGTON 8

8

SOUTH HERO

8 8

STAMFORD 65

65

STANNARD 2

2

STARKSBORO 15 1 16

STOCKBRIDGE 15

15

STOWE

16 16

STRAFFORD 1

1

STRATTON 41

41

SUDBURY 28

28

SUNDERLAND 20

20

SWANTON

19 19

TOPSHAM 26

26

TOWNSHEND 23

23

TROY

4 4

TUNBRIDGE 8

8

UNDERHILL 4 13 17

VERGENNES 3

3

VERNON 35

35

VERSHIRE 3

3

VICTORY 4

4

WAITSFIELD 26

26

WALTHAM 35

35

WARDSBORO 118

118

WARREN 27

27

WARREN GORE

4 4

WASHINGTON 1

1

WATERBURY 27

27

WATERFORD 76

76

WATERVILLE

145 145

WEATHERSFIELD 38

38

WELLS 14

14

WEST FAIRLEE 2

2

WEST HAVEN 33

33

WEST RUTLAND 3

3

WEST WINDSOR 3

3

WESTFIELD

3 3

WESTFORD 3 7 10

WESTMINSTER 74

74

WESTMORE

2 2

WESTON 8

8

WEYBRIDGE 10

10

WHEELOCK 4 4 8

WHITING 6

6

WHITINGHAM 11

11

WILLIAMSTOWN 9

9

WILLISTON 5 4 9

WILMINGTON 14

14

WINDHAM 4

4

WINDSOR 5

5

WINHALL 2

2

WOODFORD 24

24

WOODSTOCK 48

48

WORCESTER 3

3

Grand Total 4719 1727 6446

For questions about this data please contact PublicWorksOpenData@minneapolismn.gov

Attribute Overview:

Lighting Pole, Post, Power Pole, Lighting, Parking Meter, Traffic Sign, Water Hydrant, Hedge, Shrub, Tree Coniferous, Tree Deciduous.

Fields:

Field Name

Field Type

Field Description

OBJECTID

Object ID

Unique ID

PLAN_PT_REVD

Date

Graphic revision date

SOURCE

Text

Source of data

SOURCE_DATE

Date

Source date

PLAN_PT_CREATED

Date

Graphic creation date

SYMBOL_NAME

Text

Graphic symbol name

Shape

Geometry

Geometry

Symbol Name Definitions

Symbol Name Definition

HYDRANT Water Hydrant

POST Post

POWER_POLE Power Pole

PRKG_METER Traffic Parking Meter

STREET_LIGHT Traffic Lighting

STREET_SIGN Traffic Sign

TREE_CONIF Tree Coniferous

TREE_DECID Tree Deciduous

The classification of point cloud datasets to identify distribution wires is useful for identifying vegetation encroachment around power lines. Such workflows are important for preventing fires and power outages and are typically manual, recurring, and labor-intensive. This model is designed to extract distribution wires at the street level. Its predictions for high-tension transmission wires are less consistent with changes in geography as compared to street-level distribution wires. In the case of high-tension transmission wires, a lower ‘recall’ value is observed as compared to the value observed for low-lying street wires and poles.Using the modelFollow the guide to use the model. The model can be used with ArcGIS Pro's Classify Point Cloud Using Trained Model tool. Before using this model, ensure that the supported deep learning libraries are installed. For more details, check Deep Learning Libraries Installer for ArcGIS.InputThe model accepts unclassified point clouds with point geometry (X, Y and Z values). Note: The model is not dependent on any additional attributes such as Intensity, Number of Returns, etc. This model is trained to work on unclassified point clouds that are in a projected coordinate system, in which the units of X, Y and Z are based on the metric system of measurement. If the dataset is in degrees or feet, it needs to be re-projected accordingly. The model was trained using a training dataset with the full set of points. Therefore, it is important to make the full set of points available to the neural network while predicting - allowing it to better discriminate points of 'class of interest' versus background points. It is recommended to use 'selective/target classification' and 'class preservation' functionalities during prediction to have better control over the classification and scenarios with false positives.The model was trained on airborne lidar datasets and is expected to perform best with similar datasets. Classification of terrestrial point cloud datasets may work but has not been validated. For such cases, this pre-trained model may be fine-tuned to save on cost, time, and compute resources while improving accuracy. Another example where fine-tuning this model can be useful is when the object of interest is tram wires, railway wires, etc. which are geometrically similar to electricity wires. When fine-tuning this model, the target training data characteristics such as class structure, maximum number of points per block and extra attributes should match those of the data originally used for training this model (see Training data section below).OutputThe model will classify the point cloud into the following classes with their meaning as defined by the American Society for Photogrammetry and Remote Sensing (ASPRS) described below: Classcode Class Description 0 Background Class 14 Distribution Wires 15 Distribution Tower/PolesApplicable geographiesThe model is expected to work within any geography. It's seen to produce favorable results as shown here in many regions. However, results can vary for datasets that are statistically dissimilar to training data.Model architectureThis model uses the RandLANet model architecture implemented in ArcGIS API for Python.Accuracy metricsThe table below summarizes the accuracy of the predictions on the validation dataset. - Precision Recall F1-score Background (0) 0.999679 0.999876 0.999778 Distribution Wires (14) 0.955085 0.936825 0.945867 Distribution Poles (15) 0.707983 0.553888 0.621527Training dataThis model is trained on manually classified training dataset provided to Esri by AAM group. The training data used has the following characteristics: X, Y, and Z linear unitmeter Z range-240.34 m to 731.17 m Number of Returns1 to 5 Intensity1 to 4095 Point spacing0.2 ± 0.1 Scan angle-42 to +35 Maximum points per block20000 Extra attributesNone Class structure[0, 14, 15]Sample resultsHere are a few results from the model.

Electric Service Territories (IURC) - Shows the Electric Service Territory (EST) boundaries in Indiana, maintained by personnel of the Indiana Utility Regulatory Commission (IURC). This layer is "live" and synchronized to automatically update whenever IURC personnel establish new boundaries.The layer was created to visually represent, as accurately as possible, the electric service territories served by the regulated electric service providers in the state of Indiana, pursuant to Cause Number 42868 (Indiana Utility Regulatory Commission) to establish an online GIS mapping environment to house, edit, and display visual interpretations or electric service territory rulings filed before and ruled by the Indiana Utility Regulatory Commission. The data represented in this layer is strictly a visual aide and a best interpretation of the legally approved Electric Service Territories as ruled by the Indiana Utility Regulatory Commission (IURC). These data are not legally binding or necessarily fully representative of the legal rulings.The following is excerpted from metadata provided by the IURC: "IN THE MATTER OF THE JOINT PETITION OF ELECTRICITY SUPPLIERS FOR (1) THE ESTABLISHMENT OF THE PROCEDURES TO APPROVE SERVICE AREA BOUNDARY AGREEMENTS UNDER IC 8-1-2.3-6(2) AND SERVICE CONSENTS UNDER IC 8-1-2.3-4(A), AND (2) MODIFICATION OF THE FORM AND MAINTENANCE OF MAPS OF ASSIGNED SERVICE AREAS ESTABLISHED PURSUANT TO IC 8-1-2.3-1, ET SEQ. AND THE COMMISSION'S FEBRUARY 19, 1981 ORDER IN CAUSE NO. 36299"

Export Data

The CEC Transmission Lines geospatial data layer contains electric power lines of transmission and some distribution or sub-transmission voltages covering California. Transmission lines can carry alternating current or direct current with voltages typically ranging from 110 kV to 765 kV. Transmission lines can be overhead and underground; underground transmission lines are more often found in urban areas. Sub-transmission lines generally carry voltages ranging from 33 kV to 100kV. These sub-transmission lines transmit power from higher voltage lines or other bulk power sources to local distribution network substations. An overhead power line can be single or double circuit. A single-circuit transmission line carries conductors for only one circuit. For a three-phase system, this implies that each tower supports three conductors. A double-circuit transmission line has two circuits. For three-phase systems, each tower supports and insulates six conductors. Single phase AC-power lines as used for traction current have four conductors for two circuits. Usually both circuits operate at the same voltage. In HVDC systems typically two conductors are carried per line, but in rare cases only one pole of the system is carried on a set of towers. The detailed descriptions on the structure type, material and circuit can be found at here. If you cannot access to the PDF, you may request us to send you a copy of the PDF.The transmission line, substation and power plant mapping database were started in 1990 by the CEC GIS staffs. The final project was completed in October 2010. The enterprise GIS system on CEC's critical infrastructure database was leaded by GIS Unit in November 2014 and was implemented in May 2016. The data was derived from utility companies and USGS topographic map. Some of the data was rectified from GE and Platts transmission line geospatial data. The sources for the transmission line digitizing are including sub-meter resolution of Digital Globe, Bing, Google, ESRI and NAIP aerial imageries, with scale at least 1:5,000. Occasionally, USGS Topographic map, Google Street View and Bing Bird's Eye are used to verify the precise location of a facility. The data was digitized from pole to pole for greater than or equal to 200 kV transmission lines. For transmission lines less than 200kV, the data was digitized on the pole gaps of approximately 1:5,000 or greater. All the data was digitized based on ground level of where a pole was planted.The transmission line was not digitized with one line segment from substation to substation. GIS Unit will merge the multipart lines into one segment in the future, after consulting with the Strategic Transmission Planning and Corridor Designation Office in identifying electricity flow between substation to substation or power plant to substation. Not all transmission line spatial data ended or started with a substation or power plant point spatial data. However, GIS Unit is current developing power plant and substation boundary spatial data which will enclose most of the transmission lines at both ends.

Data for utility maintained street lights was originally stored in tabular form. Retired records are moved to table SubFormLights. Field descriptions/definitions for utility maintained street light data as follows:

ObjectID: GIS auto-generated unique identifier Addr: address of street light taken from original data table Street1: street on which street light was installed Street2: cross-street of street light location Notes: pertinent street light notes Rotation: spatial rotation Removal_Date: removal date Pole_Type: pole material description Mounting_Height: mounting height of luminaire Pole_number: utility provided pole number LightsID_PK: primary key for the relationship classes. SubFrmLights foreign key is Lights_IDFK Install_Ordered_Date: date the installation was ordered Lamp: lamp type Watt2: wattage PEC: Photoelectric Cell (Yes/No) Pole_Gauge: metal pole gauge Base_Type: pole base type Shape: GIS geometry type Created_User: GIS user to first enter luminaire into feature class Date_created: creation date in GIS feature class Last_Edited_User: last GIS user to update luminaire data Date_Last_Edited: date of last edit to feature

This point dataset shows the locations of Park Features in the Australian Capital Territory. These assets are either owned or managed by City Services, Transport Canberra and City Services Directorate (TCCS) and Parks and Conservation Service, Environment, Planning and Sustainable Development Directorate (EPSDD). Assets managed and / or owned privately, by other ACT Government Directorates or by the Federal Government may not be included.Attributes include location description, suburb, asset sub type (Bird Hide, Bird Roost, Canberra Centenary Trail 100 Gateway, Entry Archway, Habitat Tree, Historic Site, Katy Gallagher Seating Wall, Metal Tree, Possum Run, Power Pole) and material (e.g. meal, timber).These assets are captured and maintained in the asset database through the works as executed (WAE) handover process or field audits.For additional information, please see the relevant municipal infrastructure standard (https://www.cityservices.act.gov.au/plan-and-build/standards-codes-and-guidelines/municipal-infrastructure-design-standards-mis).

This dataset consists of three feature classes providing an overview of major hydro transmission infrastructure in Peel Region:Hydroelectric Line - Includes transmission lines that are generally 230 kilovolts and 500 kilovolts, but some minor above ground lines are included if they share a corridor with high voltage lines.Hydroelectric Station - Major transmission/transformer stations and power stations (power plants). Delineates the pad containing the utility components, not the parcel or fence line of the station. Power stations (power plants or generating stations) are delineated by the building where the generators are located.Hydroelectric Structure - Alignment of hydro transmission towers and poles. They are to be used with Hydroelectric Line.Please note that a majority of the transmission lines and structures are maintained by HydroOne and not the Cities, Town, or Region.

Abstract The Electrical Infrastructure database presents the spatial locations of Major Power Stations, Electricity Transmission Substations and Electricity Transmission Lines; in point and line format respectively, for known major power stations, transmission substations and transmission lines within Australia.This dataset describes Electricity Transmission Lines; structures in which high voltage electricity supply is converted, controlled or transformed. Currency Date modified: 17 January 2025 Modification frequency: As needed Data extent Spatial extent North: -9.00° South: -44.00° East: 154.00° West: 112.00° Source information In addition to Esri World Imagery, the latest information sources used to identify and attribute the electricity transmission lines were publicly available publications from utility companies, engineering firms and government agencies. Catalog entry: National Electricity Infrastructure Lineage statement The release information for previous and current versions of this dataset is included below: Data download: Mar 2015: Public release of GA’s Electricity Infrastructure Database (separated into 3 parts: Major Power stations, Electricity Transmission line and Electricity Transmission Substations) – Version 1 Mar 2017: Public release of GA’s Electricity Infrastructure Database (separated into 3 parts: Major Power stations, Electricity Transmission line and Electricity Transmission Substations) – Version 2 Feb 2021: Public release of GA’s Electricity Infrastructure Database (separated into 3 parts: Major Power stations, Electricity Transmission line and Electricity Transmission Substations) – Version 3 Nov 2024: Public release of GA’s National Electricity Infrastructure Database – Version 4 Web Service: Feb 2016: Public release as a subset of GA’s Electricity Infrastructure separated into 3 parts: Major Power stations, Electricity Transmission line and Electricity Transmission Substations) web service – Version 1 July 2017: Public release as a subset of GA’s Electricity Infrastructure separated into 3 parts: Major Power stations, Electricity Transmission line and Electricity Transmission Substations) web service – Version 2 Feb 2021: Public release as a subset of GA’s Electricity Infrastructure separated into 3 parts: Major Power stations, Electricity Transmission line and Electricity Transmission Substations) web service – Version 3 Jan 2025: Public release as GA’s National Electricity Infrastructure web service – Version 4 Data dictionary All layers

Attribute name Description

OBJECTID* Automatically generated system ID

SHAPE* Geometry type (Polyline)

FEATURETYPE A singled feature type “Transmission Line” is the collective name of the different facility subtypes identified in the CLASS field

DESCRIPTION Brief description of the feature type

CLASS The feature type subtypes:OverheadUnderground

GA_GUID A global unique ID

NAME The name of each individual feature

OPERATIONALSTATUS A description of the feature’s status:Operational (functioning as an active transmission line)Non-Operational (no longer operational as an active transmission line)

CAPACITYKV Transmission voltage of the powerline - kilovolts

STATE The state where this feature is located

SPATIALCONFIDENCE Confidence rating of the accuracy of the feature’s spatial location (5 high – 1 low)

REVISED The date the feature was last revised

COMMENT A free text field for adding general comments about this feature to external users

LENGTH_M Length of the line in metres measured along the shortest distance with Earth curvature (geodesic line).

SHAPE_Length Automatically generated length in decimal degrees

Contact Geoscience Australia, clientservices@ga.gov.au

The California Energy Commission (CEC) Electric Transmission Line geospatial data layer has been created to illustrate electric transmission in California. When used in association with the other energy related geospatial data layers, viewers can analyze the geographic relationships with the electric transmission across the state.

The transmission line data is used to:1. Support the CEC Transmission Planning; 2. Support the CEC electric system analysis in California;3. Enhance electric transmission communication among California electric stakeholders ;4. Support CEC's illustrations of electric infrastructureData Dictionary:Object ID: a unique, not null integer field used to uniquely identify rows in tables in a geodatabase.Name: abbreviated transmission line owner and transmission line capacity in kilovolts (kV).kV: transmission line capacity in kilovolts (kV), data structure is a text string.kV (Sort): transmission line capacity in kilovolts (kV), data structure is a numeric double.Owner: abbreviated transmission line owner name.Status - last reported operational, proposed, closed, or unknown status of the transmission line.Circuit - notes if the transmission line segment is a Single, double, or triple circuit. Null values are unknown. Type - OH is overhead transmission lines, UG is underground, UW is underwater, null values are unknown.Legend - a summarized categories of transmission line owner and transmission capacity value in kilowatts (kV) for map legend purposes.Length (Mile) - the length of the transmission line segment in miles.Length (Feet) - the length of the transmission line segment in feet.TLine Name - the name of the transmission line segment reported to the California Energy CommissionSource - the data source used by California Energy Commission.CommentsCreatorCreator DateLast EditorLast Editor DateGlobalIDShape_LengthShape

The construction of this data model was adapted from the Telvent Miner & Miner ArcFM MultiSpeak data model to provide interface functionality with Milsoft Utility Solutions WindMil engineering analysis program. Database adaptations, GPS data collection, and all subsequent GIS processes were performed by Southern Geospatial Services for the Town of Apex Electric Utilities Division in accordance to the agreement set forth in the document "Town of Apex Electric Utilities GIS/GPS Project Proposal" dated March 10, 2008. Southern Geospatial Services disclaims all warranties with respect to data contained herein. Questions regarding data quality and accuracy should be directed to persons knowledgeable with the forementioned agreement.The data in this GIS with creation dates between March of 2008 and April of 2024 were generated by Southern Geospatial Services, PLLC (SGS). The original inventory was performed under the above detailed agreement with the Town of Apex (TOA). Following the original inventory, SGS performed maintenance projects to incorporate infrastructure expansion and modification into the GIS via annual service agreements with TOA. These maintenances continued through April of 2024.At the request of TOA, TOA initiated in house maintenance of the GIS following delivery of the final SGS maintenance project in April of 2024. GIS data created or modified after April of 2024 are not the product of SGS.With respect to SGS generated GIS data that are point features:GPS data collected after January 1, 2013 were surveyed using mapping grade or survey grade GPS equipment with real time differential correction undertaken via the NC Geodetic Surveys Real Time Network (VRS). GPS data collected prior to January 1, 2013 were surveyed using mapping grade GPS equipment without the use of VRS, with differential correction performed via post processing.With respect to SGS generated GIS data that are line features:Line data in the GIS for overhead conductors were digitized as straight lines between surveyed poles. Line data in the GIS for underground conductors were digitized between surveyed at grade electric utility equipment. The configurations and positions of the underground conductors are based on TOA provided plans. The underground conductors are diagrammatic and cannot be relied upon for the determination of the actual physical locations of underground conductors in the field.The Service Locations feature class was created by Southern Geospatial Services (SGS) from a shapefile of customer service locations generated by dataVoice International (DV) as part of their agreement with the Town of Apex (TOA) regarding the development and implemention of an Outage Management System (OMS).Point features in this feature class represent service locations (consumers of TOA electric services) by uniquely identifying the features with the same unique identifier as generated for a given service location in the TOA Customer Information System (CIS). This is also the mechanism by which the features are tied to the OMS. Features are physically located in the GIS based on CIS address in comparison to address information found in Wake County GIS property data (parcel data). Features are tied to the GIS electric connectivity model by identifying the parent feature (Upline Element) as the transformer that feeds a given service location.SGS was provided a shapefile of 17992 features from DV. Error potentially exists in this DV generated data for the service location features in terms of their assigned physical location, phase, and parent element.Regarding the physical location of the features, SGS had no part in physically locating the 17992 features as provided by DV and cannot ascertain the accuracy of the locations of the features without undertaking an analysis designed to verify or correct for error if it exists. SGS constructed the feature class and loaded the shapefile objects into the feature class and thus the features exist in the DV derived location. SGS understands that DV situated the features based on the address as found in the CIS. No features were verified as to the accuracy of their physical location when the data were originally loaded. It is the assumption of SGS that the locations of the vast majority of the service location features as provided by DV are in fact correct.SGS understands that as a general rule that DV situated residential features (individually or grouped) in the center of a parcel. SGS understands that for areas where multiple features may exist in a given parcel (such as commercial properties and mobile home parks) that DV situated features as either grouped in the center of the parcel or situated over buildings, structures, or other features identifiable in air photos. It appears that some features are also grouped in roads or other non addressed locations, likely near areas where they should physically be located, but that these features were not located in a final manner and are either grouped or strung out in a row in the general area of where DV may have expected they should exist.Regarding the parent and phase of the features, the potential for error is due to the "first order approximation" protocol employed by DV for assigning the attributes. With the features located as detailed above, SGS understands that DV identified the transformer closest to the service location (straight line distance) as its parent. Phase was assigned to the service location feature based on the phase of the parent transformer. SGS expects that this protocol correctly assigned parent (and phase) to a significant portion of the features, however this protocol will also obviously incorretly assign parent in many instances.To accurately identify parent for all 17992 service locations would require a significant GIS and field based project. SGS is willing to undertake a project of this magnitude at the discretion of TOA. In the meantime, SGS is maintaining (editing and adding to) this feature class as part of the ongoing GIS maintenance agreement that is in place between TOA and SGS. In lieu of a project designed to quality assess and correct for the data provided by DV, SGS will verify the locations of the features at the request of TOA via comparison of the unique identifier for a service location to the CIS address and Wake County parcel data address as issues arise with the OMS if SGS is directed to focus on select areas for verification by TOA. Additionally, as SGS adds features to this feature class, if error related to the phase and parent of an adjacent feature is uncovered during a maintenance, it will be corrected for as part of that maintenance.With respect to the additon of features moving forward, TOA will provide SGS with an export of CIS records for each SGS maintenance, SGS will tie new accounts to a physical location based on address, SGS will create a feature for the CIS account record in this feature class at the center of a parcel for a residential address or at the center of a parcel or over the correct (or approximately correct) location as determined via air photos or via TOA plans for commercial or other relevant areas, SGS will identify the parent of the service location as the actual transformer that feeds the service location, and SGS will identify the phase of the service address as the phase of it's parent.Service locations with an ObjectID of 1 through 17992 were originally physically located and attributed by DV.Service locations with an ObjectID of 17993 or higher were originally physically located and attributed by SGS.DV originated data are provided the Creation User attribute of DV, however if SGS has edited or verified any aspect of the feature, this attribute will be changed to SGS and a comment related to the edits will be provided in the SGS Edits Comments data field. SGS originated features will be provided the Creation User attribute of SGS. Reference the SGS Edits Comments attribute field Metadata for further information.

The Streetlights (SDGE) layer offers a comprehensive representation of streetlights managed by SDGE within the City of La Mesa. This dataset consolidates essential information, such as Lamp Type, Wattage, Pole Type, Billing Type, and Energy Consumption, to facilitate informed decision-making. Key fields include unique identifiers like the SDGE Streetlight Number and Pole Number, operational data like Light Status and Inspection Dates, and geographical details such as Cross Streets and Zones.Users can explore lifecycle stages, service descriptions, and warranty information to ensure efficient asset management. The layer also highlights maintenance history and energy usage metrics, aiding in cost analysis and operational optimization. Designed for city planners, engineers, and utility managers, this dataset provides a vital tool for maintaining a sustainable and well-lit urban environment.

B.1 Buildings InventoryThe Building Footprints data layer is an inventory of buildings in Southeast Michigan representing both the shape of the building and attributes related to the location, size, and use of the structure. The layer was first developed in 2010 using heads-up digitizing to trace the outlines of buildings from 2010 one foot resolution aerial photography. This process was later repeated using six inch resolution imagery in 2015, 2020, and 2024 to add recently constructed buildings to the inventory. Due to differences in spatial accuracy between the 2010 imagery and later imagery sources, footprint polygons delineated in 2010 may appear shifted compared with imagery that is more recent.Building DefinitionFor the purposes of this data layer, a building is defined as a structure containing one or more housing units AND/OR at least 250 square feet of nonresidential job space. Detached garages, pole barns, utility sheds, and most structures on agricultural or recreational land uses are therefore not considered buildings as they do not contain housing units or dedicated nonresidential job space.How Current is the Buildings Footprints LayerThe building footprints data layer is current as of December 31, 2024. This date was chose to align with the timing of the 2020 Decennial Census, so that accurate comparisons of housing unit change can be made to evaluate the quality of Census data.Temporal AspectsThe building footprints data layer is designed to be temporal in nature, so that an accurate inventory of buildings at any point in time since the origination of the layer in April 2010 can be visualized. To facilitate this, when existing buildings are demolished the demolition date is recorded but they are not removed from the inventory. To view only current buildings, you must filter the data layer using the expression, WHERE DEMOLISHED IS NULL.B.2 Building Footprints AttributesTable B-1 list the current attributes of the building footprints data layer. Additional information about certain fields follows the attribute list.Table B-1 Building Footprints AttributesFIELDTYPEDESCRIPTIONBUILDING_IDLong IntegerUnique identification number assigned to each building.PARCEL_IDLong IntegerIdentification number of the parcel on which the building is located.APNVarchar(24)Tax assessing parcel number of the parcel on which the building is located.CITY_IDIntegerSEMCOG identification number of the municipality, or for Detroit, masterplan neighborhood, in which the building is located.BUILD_TYPEIntegerBuilding type. Please see section B.3 for a detailed description of the types.RES_SQFTLong IntegerSquare footage devoted to residential use.NONRES_SQFTLong IntegerSquare footage devoted to nonresidential activity.YEAR_BUILTIntegerYear structure was built. A value of 0 indicates the year built is unknown.DEMOLISHEDDateDate structure was demolished.STORIESFloat(5.2)Number of stories. For single-family residential this number is expressed inquarter fractions from 1 to 3 stories: 1.00, 1.25, 1.50, etc.MEDIAN_HGTIntegerMedian height of the building from LiDAR surveys, NULL if unknown.HOUSING_UNITSIntegerNumber of residential housing units in the building.GQCAPIntegerMaximum number of group quarters residents, if any.SOURCEVarchar(10)Source of footprint polygon: NEARMAP, OAKLAND, SANBORN,SEMCOG or AUTOMATIC.ADDRESSVarchar(100)Street address of the building.ZIPCODEVarchar(5)USPS postal code for the building address.REF_NAMEVarchar(40)Owner or business name of the building, if known.CITY_IDPlease refer to the SEMCOG CITY_ID Code List for a list identifying the code for each municipality AND City of Detroit master plan neighborhood.RES_SQFT and NONRES_SQFTSquare footage evenly divisible by 100 is an estimate, based on size and/or type of building, where the true value is unknown.SOURCEFootprints from OAKLAND County are derived from 2016 EagleView imagery. Footprints from SEMCOG are edits of shapes from another source. AUTOMATIC footprints are those created by algorithm to represent mobile homes in manufactured housing parks.ADDRESSBuildings with addresses on multiple streets will have each street address separated by the “ | “ symbol within the field.B.3 Building TypesEach building footprint is assigned one of 26 building types to represent how the structure is currently being used. The overwhelming majority of buildings (86.9%) are single-family residential.Nonresidential TypesThe 22 nonresidential building types are based on the 2017 North American Industrial Classification System (NAICS), which classifies establishments based on economic activity. Each of the building types represent one or more 3-digit NAICS sector groupings, except for five special building types that do not fit well within this system. These special types (movie theaters, libraries, dormitories, funeral services, and parking garages) have land use AND/OR trip generation characteristics that differ substantially from other types of activity in their respective NAICS sector and are therefore classified individually. More information on NAICS, including descriptions of the economic activity sectors, can be found at the Census Bureau’s NAICS web site.Residential TypesThe four residential building types are based on a combination of units in structure, and ownership.Single-Family Housing are homes and site condominiums that contain one housing unit. Most are owned individually, but there are instances of groups of homes owned by a housing commission for rent. Traditional duplexes where each unit is owned by the same entity are also classified as single-family housing.Attached Condo Housing are buildings which contain two or more housing units, each of which shares one or more walls with an adjoining unit and can be independently owned.Multi-Family Apartment buildings contain three or more units, all of which are owned by a single entity and intended as rental units.Mobile Homes are pre-manufactured housing located primarily in manufactured housing parks.Building Type AssignmentsBuildings are classified primarily on the economic sector of the property owner. Therefore, each building on a site will typically have the same building type assigned. For example, all buildings at an automotive plant will be classified as Manufacturing, even though some small buildings might be typically used as storage. Government owned utility buildings will usually be classified as Utility buildings rather than Governmental. While not ideal for every purpose, it would not be feasible to attempt to uniquely classify nearly two million individual structures, and this method corresponds better to the use of buildings in developing parcel based land use. A description of SEMCOG building types, including the relevant NAICS codes for the type, are found in Table B-2. The RGB color values match SEMCOG’s layer symbology for building types.Table B-2 Building TypesBUILD TYPEDESCRIPTIONNAICS SECTORSRGB11Educational611190-232-25513Religious and Civic8130-132-16814Governmental921-9280-76-11521Retail Building441-454, 811-812255-190-19023Office Building511-551, 561255-0-031Manufacturing311-339194-158-21532Wholesale Trade423-425170-102-20533Warehouse and Storage493112-68-13741Transportation and Utility221, 481-488, 562204-204-20442Delivery Services491-492156-156-15651Health and Social Services621, 624214-157-18852Hospital622245-122-18253Residential Care Facility623137-68-10161Leisure Activity711-713137-205-10263Hotel and Motel721209-255-11565Eating and Drinking72285-255-071Agricultural111-213255-255-081Single-Family HousingResidential255-211-12782Attached Condo BuildingResidential230-152-083Multi-Family ApartmentResidential137-112-6884Mobile HomeResidential137-68-6891Movie Theater51213168-0-092Library519120-197-25593Dormitory Quarters7213192-137-6894Funeral Services81220255-127-12795Parking Garage8129378-78-78

The most harmful events for the vehicle are defined as: Bridge Overhead Structure, Bridge Pier or Support, Bridge Rail, Cable Barrier, Concrete Traffic Barrier, Culvert, Curb. Ditch, Embankment, Fence Guardrail End, Guardrail Face, Impact Attenuator/Crash Cushion, Light Support, Mailbox. Other Fixed Object (wall, building, tunnel, etc.). Other Post, Pole, or Support. Other Traffic Barrier. Traffic Sign Support. Traffic Signal Support. Tree (standing), Utility Pole

On 12/2/2022 the PSD informed providers that it intended to revise this dataset to state that it is current as of 6/30/2022, and requested updates necessary to comply with this production date. Several updates were received and this dataset was updated on 2/23/2023. The layer was updated again on 4/17/23 with minor data corrections received as of 3/23/23.This layer presents the availability of broadband service at buildings in Vermont by speed, as reported by broadband service providers as of 12-31-2021 but updated through the date of publication. Data submitted by the service providers and aggregated by the PSD (Vermont Public Service Department).This layer was updated 11/18/22 to address a processing error that incorrectly classified some locations as lacking 4/1 Mbps that should have been in the 4/1 tier. The entries in the BB_Status field were changed from "Underserved" to "Lacks 4/1"The layer is based on the Vermont E-911 Site Locations layer, extracted 11/03/2022. This layer includes all records from and all attribute fields from that original layer, and also the fields from the VT-Data Town Boundaries layer. Note: The TOWNGEOID field is blank for Essex Junction in the Town Boundaries layer, so records in Essex Junction were populated with a fictitious entry 5000724174 in this dataset.BB_Status: The maximum reported broadband service available at this location, in one of five speed tiers in Mbps: Served 100/100, Served 100/20, Served 25/3, Served 4/1, or Lacking 4/1.BLDG: Y/N based on the SITETYPE field, according to the classification in the table below. BLDG = Y: 32,854BLDG = N: 313,063Total Records: 345,917 SITETYPE BLDG QTY

ABANDONED N 226

ACCESS POINT N 765

ACCESSORY BARN N 1730

ACCESSORY BUILDING N 15950

BOAT RAMP / DOCK N 288

CEMETERY N 639

COMMUNICATION BOX N 319

COMMUNICATION TOWER N 783

DEVELOPMENT SITE N 3403

EBS TOWER N 3

EMERGENCY PHONE / CALLBOX N 2

GATED W/O BUILDING N 172

GRAVEL PIT / QUARRY / MINE N 205

GREENHOUSE / NURSERY N 75

HELIPAD / HELIPORT / HELISPOT N 721

HYDROELECTRIC FACILITY N 84

LOOKOUT TOWER N 6

OTHER N 1910

PARK AND RIDE / COMMUTER LOT N 54

PICNIC AREA N 52

PUBLIC BEACH N 30

PUBLIC GATHERING N 745

PUBLIC TELEPHONE N 190

PUBLIC WATER SUPPLY INTAKE N 12

PUBLIC WATER SUPPLY WELL N 36

PUMP STATION N 297

RV HOOKUP N 1314

SOLAR FACILITY N 425

STORAGE UNITS N 255

SUBSTATION N 301

SUGARHOUSE N 622

TEMPORARY STRUCTURE N 54

TRAILHEAD N 334

UNKNOWN N 133

UTILITY POLE W/PHONE N 518

WATER TANK N 90

WATER TOWER N 33

WIND FACILITY / WIND TOWER N 78

AIR SUPPORT / MAINTENANCE FACILITY Y 119

AIRPORT TERMINAL Y 5

AMBULANCE SERVICE Y 53

AUDITORIUM / CONCERT HALL / THEATER / OPERA HOUSE Y 50

BANK Y 204

BORDER CROSSING Y 33

BORDER PATROL Y 5

BREWERY Y 51

BUS STATION / DISPATCH FACILITY Y 10

CAMP Y 22459

CAMPGROUND Y 716

CITY / TOWN HALL Y 53

COAST GUARD Y 1

COLLEGE / UNIVERSITY Y 397

COMMERCIAL Y 11404

COMMERCIAL CONSTRUCTION SERVICE Y 63

COMMERCIAL FARM Y 1558

COMMERCIAL GARAGE Y 261

COMMERCIAL W/RESIDENCE Y 570

COMMUNITY / RECREATION FACILITY Y 397

CONDOMINIUM Y 7284

COURT HOUSE Y 20

CULTURAL Y 167

DAY CARE FACILITY Y 56

EDUCATIONAL Y 312

FAIR / EXHIBITION/ RODEO GROUNDS Y 37

FIRE STATION Y 280

FISH FARM / HATCHERY Y 6

FITNESS FACILITY Y 19

FOOD DISTRIBUTION CENTER Y 8

GAS STATION Y 315

GATED W/BUILDING Y 243

GOLF COURSE Y 86

GOVERNMENT Y 579

GROCERY STORE Y 92

HARBOR / MARINA Y 7

HAZARDOUS MATERIALS FACILITY Y 1

HAZARDOUS STORAGE FACILITY Y 4

HEALTH CLINIC Y 370

HISTORIC SITE / POINT OF INTEREST Y 77

HOSPITAL / MEDICAL CENTER Y 18

HOUSE OF WORSHIP Y 960

ICE ARENA Y 11

INDUSTRIAL Y 659

INSTITUTIONAL RESIDENCE / DORM / BARRACKS Y 254

LANDFILL Y 5

LAW ENFORCEMENT Y 70

LIBRARY Y 120

LODGING B&B / HOTEL / MOTEL / INN Y 1465

LUMBER MILL / SAW MILL Y 70

MANUFACTURING FACILITY Y 85

MOBILE HOME Y 22713

MORGUE Y 23

MULTI-FAMILY DWELLING Y 20047

MUSEUM Y 80

NATIONAL GUARD / ARMORY Y 149

NURSING HOME / LONG TERM CARE Y 58

OFFICE BUILDING Y 480

OIL / GAS FACILITY Y 69

OTHER COMMERCIAL Y 1954

OTHER RESIDENTIAL Y 2832

OUTPATIENT CLINIC Y 13

PHARMACY Y 33

POST OFFICE Y 150

PRISON / CORRECTIONAL FACILITY Y 13

PRIVATE AND EXPRESS SHIPPING FACILITY Y 7

PSAP Y 1

RACE TRACK / DRAGSTRIP Y 7

RAILROAD STATION Y 8

RESIDENTIAL FARM Y 55

REST STOP / ROADSIDE PARK Y 31

RESTAURANT Y 449

RETAIL FACILITY Y 682

SCHOOL K / 12 Y 577

SEASONAL HOME Y 1529

SHOOTING RANGE Y 20

SINGLE FAMILY DWELLING Y 207206

SKI AREA / ALPINE RESORT Y 208

SPORTS ARENA / STADIUM Y 25

STATE CAPITOL Y 1

STATE GARAGE Y 53

STATE GOVERNMENT FACILITY Y 72

STATE PARK Y 100

TOWN GARAGE Y 163

TOWN OFFICE Y 146

TRANSFER STATION Y 66

US FOREST FACILITY Y 13

US GOVERNMENT FACILITY Y 52

UTILITY Y 386

VETERINARY HOSPITAL / CLINIC Y 38

VISITOR / INFORMATION CENTER Y 33

WAREHOUSE Y 101

WASTE / BIOMASS FACILITY Y 4

WASTEWATER TREATMENT PLANT Y 130

YOUTH CAMP Y 197 DISCLAIMER VCGI and the State of VT make no representations of any kind, including but not limited to the warranties of merchantability or fitness for a particular use, nor are any such warranties to be implied with respect to the data.