20220326 12010500 1.0 TRUE 002 000_Template_Lines_20211217 500000 5000 ISO19139 1650341429289r7720280722840447 dataset Briometrix 20220422 14:10:28.76 File Geodatabase Feature Class 1 Effort 2021-12-17 <DIV STYLE="text-align:Left;font-size:12pt"><DIV><DIV><P><SPAN>Effort rating for pathway. The paths are graded by the effort required to travel the pathway by an average wheelchair pilot. *Effort is based on the slope of the path, the surface condition, and the cross slope of the footpath.</SPAN></P></DIV></DIV></DIV> Effort rating for pathway provided by Briometrix. Briometrix Esri ArcGIS 12.7.0.26828 Briometrix Accessibility Effort -180.0 180.0 -90.0 90.0 Briometrix Other Constraints <DIV STYLE="text-align:Left;font-size:12pt"><P STYLE="margin:0 0 0 0;"><SPAN>This data is intended for highlighting the accessibility of the footpath network.</SPAN></P><P /><P STYLE="margin:0 0 0 0;"><SPAN>This </SPAN><SPAN><SPAN>While every care has been taken to ensure the accuracy of this data, Briometrix does not guarantee the accuracy of the information contained in the maps. Any person using or relying on this information does so on the basis that Briometrix does not bear any responsibility or liability for any errors, faults, defects or omissions on the maps. The details on the maps were accurate at time of publication. However, pathway conditions can change quickly or unexpectedly. Briometrix cannot guarantee the ongoing accuracy of all information.</SPAN></SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>Indicators on the maps that relate to access for people with disabilities are based on Australian Standards, which may not reflect the requirements of all individual abilities.</SPAN></SPAN></P><P /></DIV> Other Constraints Other Constraints 1 EPSG 6.18.3(9.3.1.2) Template_Lines_20211217 Briometrix Briometrix Feature Class 0 OBJECTID OBJECTID Internal feature number. Esri OID 4 0 0 Sequential unique whole numbers that are automatically generated. Shape Shape Feature geometry. Esri Geometry 0 0 0 Coordinates defining the features. GlobalID GlobalID GlobalID GlobalID 38 0 0 Esri Effort Effort rating Effort refers to the effort required by the user to propel their wheelchair. Domain options: (19/04/2022) 1 = Easy 2 = Moderate 3 = Tough 4 = Very difficult 5 = Caution Briometrix with support from TerraLab Integer 4 0 0 Surface_type Surface type Details the many potential surface types. Domain options: (19/04/2022) - Concrete - Paver - Asphalt - Pebblecrete - Gravel - Cobblestone - Timber - Tile - Steel - None - Road - None - Carpark - None - Grass/Dirt - None - Other - Mixed - Other Briometrix with support from TerraLab String 256 0 0 Condition Surface Condition Used to describe the surface condition during field collection. Domain options: (19/04/2022) 1 = Excellent 2= Good 3 = Moderate 4 = Poor 5 = Very Poor 6 = Failed Briometrix with support from TerraLab Integer 4 0 0 Shade Shade A categorical dataset representing the dominant amount of shade over a given section of footpath. No shade Partial shade Full shade Briometrix with support from TerraLab String 256 0 0 Comments Comments Comments is the main field used for descriptions and is incorporated into the data collection application with the option for user input. It is also used during post processing where users may modify certain features due to new information. Briometrix with support from TerraLab String 256 0 0 client Client The Client engaged by Briometrix for a given project. Briometrix with support from TerraLab String 256 0 0 site Site The project site for each feature. For example; Melbourne, Brisbane etc. Briometrix with support from TerraLab String 256 0 0 Condition_str Surface Condition String versions of Condition. Used to describe the surface condition during field collection. Domain options: (19/04/2022) Excellent Good Moderate Poor Very Poor Failed Briometrix with support from TerraLab String 255 0 0 Hierarchy Hierarchy *Yet to be used* (19/04/22) Will be used to rank different line features to assist with routing. Briometrix with support from TerraLab Integer 4 0 0 Level_ Level Level indicates height and used for routing. 0 = ground, 1 = first floor, -1 = tunnel/basement Domain options: (19/04/2022) Integer 4 0 0 Project Project A project number assigned by Briometrix Briometrix with support from TerraLab String 255 0 0 Notes Notes 'Notes' provides an additional option for users to add a description to features which may be more important for the analysts than the end user. This is secondary to the field 'Comments'. Comments is the main field used for descriptions and is incorporated into the data collection application with the option for user input. Briometrix with support from TerraLab String 255 0 0 Crossing Crossing Indicates if a line feature is also a crossing. Domain options: (19/04/2022) Yes No Briometrix with support from TerraLab String 255 0 0 Data_source Data Source The original source of data associated with a given feature. E.g. if the original data footpath geometry is provided by council, it will be indicated in this field. Briometrix with support from TerraLab String 255 0 0 Hazard Hazard *Not currently used* Data captured by the points template. Briometrix with support from TerraLab String 255 0 0 TGSI TGSI *Not currently used* Data captured by the points template. Briometrix with support from TerraLab String 255 0 0 Kerb_ramp Kerb Ramp *Not currently used* Data captured by the points template. Briometrix with support from TerraLab String 255 0 0 CreationDate_1 CreationDate Date 8 0 0 Editor tracking - Feature creation date Esri Creator_1 Creator String 128 0 0 Editor tracking - Feature creation username Esri EditDate_1 EditDate Date 8 0 0 Editor tracking - Feature edit date Esri Editor_1 Editor String 128 0 0 Editor tracking - Feature edit username Esri Notes_2 Notes_2 Additional Notes field *No longer used* Briometrix with support from TerraLab String 255 0 0 Shape_Length Shape_Length Length of feature in internal units. Esri Double 8 0 0 Positive real numbers that are automatically generated. Edge_Dropoff Edge Dropoff Used to indicate edge drop off during field work. Domain options: (19/04/2022) None Minor Major Briometrix with support from TerraLab String 256 0 0 Processing_Status Processing Status This field is used to track progress when completing post processing. Domain options: (19/04/22) Processed: Data that has been modified or checked and is final. Awaiting Review: Data has been edited/anomalous and awaits review by another user Delete: Data is incorrect or duplicate and can be deleted Unchanged: Raw data has been inspected and is correct. Briometrix with support from TerraLab String 256 0 0 Operator operator This field can be used during field collection to signify the operator. This enables a record of who originally created a feature as editor details will change throughout processing/appending. Briometrix with support from TerraLab String 256 0 0 CR_Classification CR_Classification (CR refers to Crossings) This field categorises crossings into four distinct types. Domain options: (19/04/2022) Marked: Crossing includes lights, zebra stripes or both. Marked (Use Caution): Crossing includes lights, zebra stripes or both and there are footpath hazards/hazardous kerb ramps in its immediate vicinity. Unmarked: Crossing is unmarked. Unmarked (Use Caution): Crossing is unmarked and there are footpath hazards/hazardous kerb ramps in its immediate vicinity. Briometrix with support from TerraLab String 256 0 0 Infill Infill Used in processing to indicate if a line was created as infill rather than field collection. Domain options: (20/04/2022) 1 = Yes 0 = No Briometrix with support from TerraLab Integer 4 0 0 Append_details Append_details This field is used to classify bodies of data. For instance, when exporting/appending data with certain parameters, this field can be calculated with a unique string to help with easy identification. Examples include all points within a given area or x number of newest features. Briometrix with support from TerraLab String 256 0 0 Name Name A universal field used to name features where necessary. A universal field used to name features where necessary. String 256 0 0 Label Label A universal field used to apply a label to features for labelling. Briometrix with support from TerraLab String 500 0 0 ItemID ItemID A universal field used to encode an ID to a given feature. For example, this has been used to ID trail POIs. Briometrix with support from TerraLab Integer 4 0 0 PopupInfo PopupInfo A universal field used to store information preformatted for popups, often in html format. Briometrix with support from TerraLab String 1024 0 0 Trail Trail Used to indicate if a line feature is part of a trail Domain options: (20/04/2022) 1 = Yes 0 = No Briometrix with support from TerraLab Integer 4 0 0 PitchCalibration PitchCalibration (Used for Effort Processing) Overall calibration for Pitch Briometrix with support from TerraLab Double 8 RollCalibration RollCalibration (Used for Effort Processing) Overall calibration for roll Briometrix with support from TerraLab Double 8 CalibratedPitchColour CalibratedPitchColour (Used for Effort Processing) Symbolises Calibrated Pitch by colours relevant to final effort symbology Briometrix with support from TerraLab String 256 CalibratedRollColour CalibratedRollColour (Used for Effort Processing) Symbolises Calibrated Roll by colours relevant to final effort symbology Briometrix with support from TerraLab String 256 Reference Reference (Used for Effort Processing) ID of logging device. Briometrix with support from TerraLab String 256 MIN_Roll_perc Min Roll (%) (Used for Effort Processing) Minimum percent for Roll over the length of the segment Briometrix with support from TerraLab Double 8 MAX_Roll_perc Max Roll (%) (Used for Effort Processing) Maximum percent for Roll over the length of the segment Briometrix with support from TerraLab Double 8 MEAN_Roll_perc Mean Roll (%) (Used for Effort Processing) Mean percent for Roll over the length of the segment Briometrix with support from TerraLab Double 8 MIN_Pitch_perc Min Pitch (%) (Used for Effort Processing) Minimum percent for Pitch over the length of the segment Briometrix with support from TerraLab Double 8 MAX_Pitch_perc Max Pitch (%) (Used for Effort Processing) Maximum percent for Pitch over the length of the segment Briometrix with support from TerraLab Double 8 MEAN_Pitch_perc Mean Pitch (%) (Used for Effort Processing) Mean percent for Pitch over the length of the segment Briometrix with support from TerraLab Double 8 MIN_Roughness Min Roughness (Used for Effort Processing) Minimum value for Roughness over the length of the segment Briometrix with support from TerraLab Double 8 MAX_Roughness Max Roughness (Used for Effort Processing) Maximum value for Roughness over the length of the segment Briometrix with support from TerraLab Double 8 MEAN_Roughness Mean Roughness (Used for Effort Processing) Mean value for Roughness over the length of the segment Briometrix with support from TerraLab Double 8 Date Date Date from the logger device. Briometrix with support from TerraLab Date 8 0 0 Time Time Time from the logger device Briometrix with support from TerraLab Float 4 0 0 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