ArcGIS REST Services Directory
Home
>
services
>
Exeter_Researchers (FeatureServer)
>
All Layers and Tables
|
API Reference
JSON
All Layers and Tables (Exeter_Researchers)
Layers:
Layer:
Exeter Researchers
(0)
Name:
Exeter Researchers
Display Field:
Name
Type:
Feature Layer
Geometry Type:
esriGeometryPoint
Description:
Copyright Text:
Min. Scale:
0
Max. Scale:
0
Default Visibility:
true
Max Record Count:
1000
Supported query Formats:
JSON, geoJSON, PBF
Use Standardized Queries:
True
Extent:
XMin: -16838160.0868815
YMin: -18921106.1254837
XMax: 19157269.1241856
YMax: 19971868.8804067
Spatial Reference: 102100 (3857)
Drawing Info:
{"renderer":{"type":"uniqueValue","field1":"Category","field2":null,"field3":null,"fieldDelimiter":", ","defaultSymbol":null,"defaultLabel":null,"uniqueValueInfos":[{"value":"2","symbol":{"angle":0,"xoffset":0,"yoffset":0,"type":"esriPMS","url":"4fa4907c-7f11-4612-9c35-28b265a19cd9","imageData":"iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAOxAAADsQBlSsOGwAAAGRJREFUOI1jYaAyYIExEhgYdqgzMLwl16D7DAw/ZzEwJMENDGRg0PRjYJAj18AlDAzHZyG7kFpg1MBRA0cNHDUQv4HnGRj4eCgw6Ak7uyDDz58IAxsYGAQpcRnDz58MDAw08DIA62AOnbpGjnQAAAAASUVORK5CYII=","contentType":"image/png","width":15,"height":15},"label":"Category 2"},{"value":"3","symbol":{"angle":0,"xoffset":0,"yoffset":0,"type":"esriPMS","url":"0874fbdb-e2a0-4563-ab69-4b0502cb4f2e","imageData":"iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAOxAAADsQBlSsOGwAAAGVJREFUOI1jYaAyYIExEhIYdqirM7wl16D79xl+zprFkAQ3MDCQQdPPj0GOXAOXLGE4PmsWkgupBUYNHDVw1MBRA/EbeP48Ax8PD/kGPXnCLsjA8BNhYEMDgyBlbvvJwMBAAy8DAGNQEsCp8lGrAAAAAElFTkSuQmCC","contentType":"image/png","width":15,"height":15},"label":"Category 3"},{"value":"4","symbol":{"angle":0,"xoffset":0,"yoffset":0,"type":"esriPMS","url":"20544f3b-da21-42d6-9150-dfb2c14ebcdf","imageData":"iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAOxAAADsQBlSsOGwAAAGBJREFUOI1jYaAyYIGz5CN2MHAovyXbpE+PfjI8X5yEMFDOQ5NBzk2ObAPvrD3O8HwxkgupBEYNHDVw1MBRAwkY+OoKHwMzF9kGsX94LvgTxcCbPYIMN8l32U8oTXUvAwC1lhRFqIme9QAAAABJRU5ErkJggg==","contentType":"image/png","width":15,"height":15},"label":"Category 4"},{"value":"5","symbol":{"angle":0,"xoffset":0,"yoffset":0,"type":"esriPMS","url":"b09eaacf-ecde-4664-a3d8-a7c72384b6ff","imageData":"iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAOxAAADsQBlSsOGwAAAGRJREFUOI1jYaAyYIExbBkidkgwKL8l16DXDI9+HmBYnAQ30ILBQ9OEwU2OXAMPMqw9foBhMcKF1AKjBo4aOGrgqIH4DbzHcIWPnYGLbIPesD8XZPiJZOBahh5Bipz2E0JR3csAzzkTIkT7HCMAAAAASUVORK5CYII=","contentType":"image/png","width":15,"height":15},"label":"Category 5"},{"value":"1","symbol":{"angle":0,"xoffset":0,"yoffset":0,"type":"esriPMS","url":"cc3bdc77-1b20-4bfb-a454-a9cfc8b44207","width":11.25,"height":11.25,"imageData":"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","contentType":"image/jpeg"},"label":"Exeter Researchers"}]},"transparency":0}
HasZ:
false
HasM:
false
Has Attachments:
true
Has Geometry Properties:
false
HTML Popup Type:
esriServerHTMLPopupTypeAsHTMLText
Object ID Field:
OBJECTID
Unique ID Field:
Name : OBJECTID
IsSystemMaintained : True
Global ID Field:
GlobalID
Type ID Field:
Category
Fields:
OBJECTID
(type: esriFieldTypeOID, alias: OBJECTID, SQL Type: sqlTypeOther, length: 0, nullable: false, editable: false)
Name
(type: esriFieldTypeString, alias: Name, SQL Type: sqlTypeOther, length: 500, nullable: true, editable: true)
Category
(type: esriFieldTypeSmallInteger, alias: Category, SQL Type: sqlTypeOther, nullable: true, editable: true, Coded Values: [1: Category 1], [2: Category 2], [3: Category 3], ... 2 more ...)
Location
(type: esriFieldTypeString, alias: Location, SQL Type: sqlTypeOther, length: 500, nullable: true, editable: true)
Date
(type: esriFieldTypeDate, alias: Date, SQL Type: sqlTypeOther, length: 8, nullable: true, editable: true)
Comments
(type: esriFieldTypeString, alias: Comments, SQL Type: sqlTypeOther, length: 5000, nullable: true, editable: true)
GlobalID
(type: esriFieldTypeGlobalID, alias: GlobalID, SQL Type: sqlTypeOther, length: 38, nullable: false, editable: false)
CreationDate
(type: esriFieldTypeDate, alias: CreationDate, SQL Type: sqlTypeOther, length: 8, nullable: true, editable: false)
Creator
(type: esriFieldTypeString, alias: Creator, SQL Type: sqlTypeOther, length: 50, nullable: true, editable: false)
EditDate
(type: esriFieldTypeDate, alias: EditDate, SQL Type: sqlTypeOther, length: 8, nullable: true, editable: false)
Editor
(type: esriFieldTypeString, alias: Editor, SQL Type: sqlTypeOther, length: 50, nullable: true, editable: false)
Picture
(type: esriFieldTypeString, alias: Picture, SQL Type: sqlTypeOther, length: 500, nullable: true, editable: true)
Types:
ID: 1
Name: Exeter Researchers
Domains:
Templates:
Name: Exeter Researchers
Description:
Drawing Tool: esriFeatureEditToolNone
Prototype:
Attributes:
Category
: 1
Is Data Versioned:
false
Has Contingent Values:
false
Supports Rollback On Failure Parameter:
true
Last Edit Date:
3/8/2017 10:47:30 PM
Schema Last Edit Date:
3/8/2017 10:47:30 PM
Data Last Edit Date:
3/8/2017 10:47:30 PM