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TwitterThis data is utilized in the Lesson 1.1 What is Climate activity on the MI EnviroLearning Hub Climate Change page.Station data accessed was accessed from NOAA. Data was imported into ArcGIS Pro where Coordinate Table to Point was used to spatially enable the originating CSV. This feature service, which incorporates Census Designated Places from the U.S. Census Bureau’s 2020 Census Demographic and Housing Characteristics, was used to spatially join weather stations to the nearest incorporated area throughout Michigan.Email Egle-Maps@Michigan.gov for questions.Former name: MichiganStationswAvgs19912020_WithinIncoproatedArea_UpdatedName Display Name Field Name Description
STATION_ID MichiganStationswAvgs19912020_W Station ID where weather data is collected
STATION MichiganStationswAvgs19912020_1 Station name where weather data is collected
ELEVATION MichiganStationswAvgs19912020_6 Elevation above mean sea level-meters
MLY-PRCP-NORMAL MichiganStationswAvgs19912020_8 Long-term averages of monthly precipitation total-inches
MLY-TAVG-NORMAL MichiganStationswAvgs19912020_9 Long-term averages of monthly average temperature -F
OID MichiganStationswAvgs1991202_10 Object ID for weather dataset
Join_Count MichiganStationswAvgs1991202_11 Spatial join count of weather station data to specific weather station
TARGET_FID MichiganStationswAvgs1991202_12 Spatial Join ID
Current place ANSI code MichiganStationswAvgs1991202_13 Census codes for identification of geographic entities (used for join)
Geographic Identifier MichiganStationswAvgs1991202_14 Geographic identifier (used for join)
Current class code MichiganStationswAvgs1991202_15 Class (CLASSFP) code defines the current class of a geographic entity
Current functional status MichiganStationswAvgs1991202_16 Status of weather station
Area of Land (Square Meters) MichiganStationswAvgs1991202_17 Area of land in square meters
Area of Water (Square Meters) MichiganStationswAvgs1991202_18 Area of water in square meters
Current latitude of the internal point MichiganStationswAvgs1991202_19 Latitude
Current longitude of the internal point MichiganStationswAvgs1991202_20 Longitude
Name MichiganStationswAvgs1991202_21 Location name of weather station
Current consolidated city GNIS code MichiganStationswAvgs1991202_22 Geographic Names Information System for an incorporated area
OBJECTID MichiganStationswAvgs1991202_23 Object ID for point dataset
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Author: Titus, Maxwell (mtitus@esri.com)Last Updated: 3/4/2025Intended Environment: ArcGIS ProPurpose: This Notebook was designed to automate updates for Hosted Feature Services hosted in ArcGIS Online (or ArcGIS Portal) from ArcGIS Pro and a spatial join of two live datasets.Description: This Notebook was designed to automate updates for Hosted Feature Services hosted in ArcGIS Online (or ArcGIS Portal) from ArcGIS Pro. An associated ArcGIS Dashboard would then reflect these updates. Specifically, this Notebook would:First, pull two datasets - National Weather Updates and Public Schools - from the Living Atlas and add them to an ArcGIS Pro map.Then, the Notebook would perform a spatial join on two layers to give Public Schools features information on whether they fell within an ongoing weather event or alert. Next, the Notebook would truncate the Hosted Feature Service in ArcGIS Online - that is, delete all the data - and then append the new data to the Hosted Feature ServiceAssociated Resources: This Notebook was used as part of the demo for FedGIS 2025. Below are the associated resources:Living Atlas Layer: NWS National Weather Events and AlertsLiving Atlas Layer: U.S. Public SchoolsArcGIS Demo Dashboard: Demo Impacted Schools Weather DashboardUpdatable Hosted Feature Service: HIFLD Public Schools with Event DataNotebook Requirements: This Notebook has the following requirements:This notebook requires ArcPy and is meant for use in ArcGIS Pro. However, it could be adjusted to work with Notebooks in ArcGIS Online or ArcGIS Portal with the advanced runtime.If running from ArcGIS Pro, connect ArcGIS Pro to the ArcGIS Online or ArcGIS Portal environment.Lastly, the user should have editable access to the hosted feature service to update.
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Access APIGeocoded Addressing Theme Please Note WGS 84 service aligned to GDA94 This dataset has spatial reference [WGS 84 ≈ GDA94] which may result in misalignments when viewed in GDA2020 …Show full description Access APIGeocoded Addressing Theme Please Note WGS 84 service aligned to GDA94 This dataset has spatial reference [WGS 84 ≈ GDA94] which may result in misalignments when viewed in GDA2020 environments. A similar service with a ‘multiCRS’ suffix is available which can support GDA2020, GDA94 and WGS 84 ≈ GDA2020 environments. In due course, and allowing time for user feedback and testing, it is intended that the original service name will adopt the new multiCRS functionally.The Geocoded Urban and Rural Addressing System (GURAS) is a ‘property’ based address database. Each property polygon captured within GURAS has a unique numeric identifier and contains at least one authoritative address which is sourced from local councils via the valuation of land database, also managed by LPI-Valnet. Properties may contain more than one address sourced from various other organisations. The GURAS database is commonly used by all levels of government for emergency services, computer aided dispatch systems, postal and delivery services, and to identify location. Address points are generally system generated points and do not always have a direct correlation to the dwelling location. In circumstances where there are multiple disparate lots for one property, particularly in rural addresses, the system generated address points may not reside within the correct property polygon. Owners names are not part of the GURAS database, nor does GURAS contain any personal information. The Geocoded Addressing Theme is a single source of truth for address information in NSW, GURAS eliminates the costly duplication of effort where all local councils, Australia Post, emergency service organisations and other agencies and businesses maintained individual address databases with different creation and distribution regimes.Geocoded Addressing Data Theme includes the following feature classes:Waypoint - A WayPoint is a point located on the RoadSegment feature class for an address where the road naming attributes from both the AddressString and the RoadSegment classes are identical. Indicates the approximate entry point of for an address.Address Point - A point feature class used to spatially locate an address / address stringThe Address Point Layer includes the below subtypes:· Building· Homestead· Monument· Property· Unit/Strata· OtherPro Way - A Proway is a line that spatially connects the AddressPoint and WayPoint.The Pro Way Layer includes the following subtypes:· Right· Left· Other Metadata Type Esri Feature Service Update Frequency As required Contact Details Contact us via the Spatial Services Customer Hub Relationship to Themes and Datasets NSW Geocoded Addressing Theme of the Foundation Spatial Data Framework (FSDF) Accuracy The dataset maintains a positional relationship to, and alignment with, the Lot and Property digital datasets. This dataset was captured by digitising the best available cadastral mapping at a variety of scales and accuracies, ranging from 1:500 to 1:250 000 according to the National Mapping Council of Australia, Standards of Map Accuracy (1975). Therefore, the position of the feature instance will be within 0.5mm at map scale for 90% of the well-defined points. That is, 1:500 = 0.25m, 1:2000 = 1m, 1:4000 = 2m, 1:25000 = 12.5m, 1:50000 = 25m and 1:100000 = 50m. A program of positional upgrade (accuracy improvement) is currently underway. Spatial Reference System (dataset) Geocentric Datum of Australia 1994 (GDA94), Australian Height Datum (AHD) Spatial Reference System (web service) EPSG 4326: WGS 84 Geographic 2D WGS 84 Equivalent To GDA94 Spatial Extent Full State Standards and Specifications Open Geospatial Consortium (OGC) implemented and compatible for consumption by common GIS platforms. Available as either cache or non-cache, depending on client use or requirement. Information about the “Feature Class” and “Domain Name” descriptions for the NSW Administrative Boundaries Theme can be found in the GURAS Delivery Model Data DictionarySome of Spatial Services Datasets are designed to work together for example “NSW Address Point” and “NSW Address String Table”, NSW Property (Polygon) and NSW Property Lot Table and NSW Lot (polygons). To do this you need to add a “Spatial Join”. A Spatial join is a GIS operation that affixes data from one feature layer’s attribute table to another from a spatial perspective. To see how Address, Property and Lot Geometry data and Tables can be joined together download the Data Model Document. This will show what attributes in the datasets can be linked. Distributors Service Delivery, DCS Spatial Services 346 Panorama Ave Bathurst NSW 2795 Dataset Producers and Contributors Administrative Spatial Programs, DCS Spatial Services 346 Panorama Ave Bathurst NSW 2795
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AbstractTaxation Statistics 2014-15 is a continental dataset providing an overview of the income and tax status of Australian individuals, companies, partnerships, trusts and funds for the 2014-15 financial year.The dataset was compiled for the annual publication, Taxation Statistics, the ATO’s key statistical report. It provides a comprehensive statistical summary of information taxpayers report to the ATO.The income tax returns of individuals, companies, super funds, partnerships and trusts.Annual returns for fringe benefits tax (FBT) and goods and services tax (GST).Business activity statements (BAS) and instalment activity statements (IAS).Schedules for rental properties, capital gains tax (CGT) and international dealings.Superannuation member contribution statements (MCS).Other information reported to the ATO in relation to excise, the pay as you go (PAYG) system, and charitable institutions.Previous versions of this dataset are available on the Australian Government open government data portal data.gov.auCurrencyDate Published: 28 March 2017Date Updated: 12 June 2024Modification Frequency: As neededData ExtentGeocentric Datum of Australia 1994 (GDA94)Spatial ExtentNorth: -9.1°South: -43.6°East: 159.1°West: 96.8°Source InformationData and Metadata are available from Taxation Statistics 2014-15 - Dataset - data.gov.auThe data was obtained from the Australian Taxation Office.Catalog Entry: Taxation Statistics 2014-15 - Dataset - Data.gov.auLineage StatementThis layer was put together using two datasets. Australian taxation and income data provided by the Australian Taxation Office (ATO), was joined to the 2011 Postal Areas shapefile provided by the Australian Bureau of Statistics (ABS).Postal AreasPostal Areas (POA) are an ABS Mesh Block approximation of a general definition of postcodes. They enable comparison of ABS data with other data collected using postcodes as the geographic reference. ABS approximations of administrative boundaries do not match official legal boundaries exactly and should only be used for statistical purposes.Data and geography referencesSource data publication:Australian Statistical Geography Standard (ASGS): Volume 3 - Non ABS Structures, July 2011Further information: Australian Statistical Geography Standard (ASGS): Volume 3 - Non ABS Structures, July 2011 – Explanatory NotesSource: Australian Bureau of Statistics (ABS)Data PreparationThe CSV was joined to the POA geographies using the 4 digit postcode. For the CSV, it was exported as a file geodatabase and a new field assigned where postcodes were entered as text data to maintain the leading zeroes. The new text postcode field was then joined to the ABS POA_Name field.All data manipulations, joins, and spatial operations were performed using ArcGIS Pro 3.4.3.Data dictionaryAttribute nameDescriptionAREA_SQKMThe area in square kilometres of the postcodeCount taxable income or lossThe number of individuals reporting taxable income or loss in the postcodeAverage taxable income or lossThe average taxable income or loss of the postcodeMedian taxable income or lossThe median taxable income or loss of the postcodeCount of salary or wagesThe number of individuals reporting salary or wages in the postcodeAverage salary and wagesThe average salary or wages of the postcodeMedian salary and wagesThe median salary or wages of the postcodeCount net rentThe number of individuals reporting net rent in the postcodeAverage net rentThe average net rent in the postcodeMedian net rentThe median net rent in the postcodeCount total income or lossThe number of individuals reporting total income or loss in the postcodeAverage total income or lossThe average total income or loss of the postcodeMedian total income or lossThe median total income or loss of the postcodeCount total deductionsCount of individuals reporting total deductions in the postcodeAverage total deductionsThe average total deductions of the postcodeMedian total deductionsThe median total deductions of the postcodeCount total business incomeThe number of individuals reporting business income in the postcodeAverage total business incomeThe average total business income in the postcodeMedian total business incomeThe median total business income in the postcodeCount total business expensesThe number of individuals reporting business expenses in the postcodeAverage total business expensesThe average business expenses in the postcodeMedian total business expensesThe median business expenses in the postcodeCount net taxThe number of individuals with net tax in the postcodeAverage net taxThe average net tax in the postcodeMedian net taxThe median net tax in the postcodeCount super total accounts balanceThe total number of super accounts in the postcodeAverage super total accounts balanceThe average balance of super accounts in the postcodeMedian super total accounts balanceThe median balance of super accounts in the postcodePostcodesThe postcode affiliated with that areaSHAPE_LengthLength of polygon outlineSHAPE_AreaArea of the polygon.ContactAustralian Taxation Office, taxstats@ato.gov.au
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AbstractTaxation Statistics 2011-12 is a continental dataset providing an overview of the income and tax status of Australian individuals, companies, partnerships, trusts and funds for the 2011-2012 financial year.The dataset was compiled for the annual publication, Taxation Statistics, the ATO’s key statistical report. It provides a comprehensive statistical summary of information taxpayers report to the ATO. It includes information sourced from:The income tax returns of individuals, companies, super funds, partnerships and trusts.Annual returns for fringe benefits tax (FBT) and goods and services tax (GST).Business activity statements (BAS) and instalment activity statements (IAS).Schedules for rental properties, capital gains tax (CGT) and international dealings.Superannuation member contribution statements (MCS).Other information reported to the ATO in relation to excise, the pay as you go (PAYG) system, and charitable institutions.Previous versions of this dataset are available on the Australian Government open government data portal data.gov.auCurrencyDate Published: 24 April 2014Date Modified: 11 August 2023Modification Frequency: As neededData ExtentCoordinate Reference Geocentric Datum of Australia 1994 (GDA1994)Spatial ExtentNorth: -9.1°South: -43.6°East: 159.1°West: 96.8°Source informationData and Metadata are available from Taxation Statistics 2011-12 - Dataset - data.gov.auThe data was obtained from Australian Taxation OfficeCatalog Entry: Taxation Statistics 2011-12 - Dataset - Data.gov.auLineage statementThis layer was put together using two datasets. Australian taxation and income data provided by the Australian Taxation Office (ATO), was joined to the 2011 Postal Areas shapefile provided by the Australian Bureau of Statistics (ABS).Postal AreasPostal Areas (POA) are an ABS Mesh Block approximation of a general definition of postcodes. They enable comparison of ABS data with other data collected using postcodes as the geographic reference. ABS approximations of administrative boundaries do not match official legal boundaries exactly and should only be used for statistical purposes.Data and geography referencesSource data publication: Australian Statistical Geography Standard (ASGS): Volume 3 - Non ABS Structures, July 2011Further information: Australian Statistical Geography Standard (ASGS): Volume 3 - Non ABS Structures, July 2011 – Explanatory NotesSource: Australian Bureau of Statistics (ABS)Data Preparation:The CSV was joined to the POA geographies using the 4 digit postcode. For the CSV, it was exported as a file geodatabase and a new field had to be generated where the postcodes were entered as text data to maintain the leading zeroes. The new text postcode field was then joined to the ABS POA_Name field.All data manipulations, joins, and spatial operations were performed using ArcGIS Pro 3.4.3.Data Loss:The taxation statistics CSV and corresponding ABS data have the following record counts:File NameNumber of Recordspc-update-all-individuals.csv2876POA_2011_AUST.shp2516The ATO dataset experienced a data loss of 360 records that did not align to an ABS POA code. 158 of these records are PO Boxes and Large Volume Receivers (LVRs) that are not included in the ABS POA Data, the remaining missing datapoints did not have an ABS equivalent, and are not represented. In 2012, increased use of eTax software reduced this discrepancy.Data dictionaryAttribute nameDescriptionAREA_SQKMThe area in square kilometres of the postcodeAverage taxable incomeThe average taxable income of the postcodePostcodesThe postcode affiliated with that areaSHAPE_LengthLength of polygon outlineSHAPE_AreaArea of the polygonContactAustralian Taxation Office, taxstats@ato.gov.au
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TwitterThis data is utilized in the Lesson 1.1 What is Climate activity on the MI EnviroLearning Hub Climate Change page.Station data accessed was accessed from NOAA. Data was imported into ArcGIS Pro where Coordinate Table to Point was used to spatially enable the originating CSV. This feature service, which incorporates Census Designated Places from the U.S. Census Bureau’s 2020 Census Demographic and Housing Characteristics, was used to spatially join weather stations to the nearest incorporated area throughout Michigan.Email Egle-Maps@Michigan.gov for questions.Former name: MichiganStationswAvgs19912020_WithinIncoproatedArea_UpdatedName Display Name Field Name Description
STATION_ID MichiganStationswAvgs19912020_W Station ID where weather data is collected
STATION MichiganStationswAvgs19912020_1 Station name where weather data is collected
ELEVATION MichiganStationswAvgs19912020_6 Elevation above mean sea level-meters
MLY-PRCP-NORMAL MichiganStationswAvgs19912020_8 Long-term averages of monthly precipitation total-inches
MLY-TAVG-NORMAL MichiganStationswAvgs19912020_9 Long-term averages of monthly average temperature -F
OID MichiganStationswAvgs1991202_10 Object ID for weather dataset
Join_Count MichiganStationswAvgs1991202_11 Spatial join count of weather station data to specific weather station
TARGET_FID MichiganStationswAvgs1991202_12 Spatial Join ID
Current place ANSI code MichiganStationswAvgs1991202_13 Census codes for identification of geographic entities (used for join)
Geographic Identifier MichiganStationswAvgs1991202_14 Geographic identifier (used for join)
Current class code MichiganStationswAvgs1991202_15 Class (CLASSFP) code defines the current class of a geographic entity
Current functional status MichiganStationswAvgs1991202_16 Status of weather station
Area of Land (Square Meters) MichiganStationswAvgs1991202_17 Area of land in square meters
Area of Water (Square Meters) MichiganStationswAvgs1991202_18 Area of water in square meters
Current latitude of the internal point MichiganStationswAvgs1991202_19 Latitude
Current longitude of the internal point MichiganStationswAvgs1991202_20 Longitude
Name MichiganStationswAvgs1991202_21 Location name of weather station
Current consolidated city GNIS code MichiganStationswAvgs1991202_22 Geographic Names Information System for an incorporated area
OBJECTID MichiganStationswAvgs1991202_23 Object ID for point dataset