Layer: survey (ID:0)

View In: Map Viewer

Name: survey

Display Field:

Type: Feature Layer

Geometry Type: esriGeometryPoint

Is View: true

Is Updatable View: true

Source Schema Changes Allowed: true

Sources

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:

Drawing Info:

{"labelingInfo":null,"renderer":{"label":"Survey Point","symbol":{"angle":0,"color":[255,0,0,255],"outline":{"color":[255,255,0,255],"width":1},"size":8,"style":"esriSMSCircle","type":"esriSMS","xoffset":0,"yoffset":0},"type":"simple"},"transparency":0}
HasZ: false

HasM: false

Has Attachments: true

Has Geometry Properties: false

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Object ID Field: objectid

Unique ID Field:

Global ID Field: globalid

Type ID Field:

Fields:

objectid (type: esriFieldTypeOID, alias: ObjectID, SQL Type: sqlTypeOther, length: 0, nullable: false, editable: false)
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: 128, 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: 128, nullable: true, editable: false)
_1_our_goal_was_to_introduce_yo (type: esriFieldTypeString, alias: 1. Our goal was to introduce you to New Haven and some field methods for analyzing and understanding specific aspects of urban ecosystems. Did we meet this goal? , SQL Type: sqlTypeOther, length: 255, nullable: true, editable: true, Coded Values: [yes: Yes], [no: No])
_2_the_content_covered_in_the_n (type: esriFieldTypeString, alias: 2. The content covered in the New Haven history lectures introduced context for field visits in New Haven., SQL Type: sqlTypeOther, length: 255, nullable: true, editable: true, Coded Values: [1: 1], [2: 2], [3: 3], ... 2 more ...)
_3_the_plant_id_exercise_introd (type: esriFieldTypeString, alias: 3. Opportunities to reflect on the role of structural racism in shaping the urban landscape were made available through the week., SQL Type: sqlTypeOther, length: 255, nullable: true, editable: true, Coded Values: [1: 1], [2: 2], [3: 3], ... 2 more ...)
_4_the_individual_plant_talks_p (type: esriFieldTypeString, alias: 4. Knowledge about patterns of inequity in the distribution of natural resources, amenities and services in the urban landscape was conveyed in lectures and through visits to green spaces across New Haven., SQL Type: sqlTypeOther, length: 255, nullable: true, editable: true, Coded Values: [1: 1], [2: 2], [3: 3], ... 2 more ...)
_5_the_park_observation_exercis (type: esriFieldTypeString, alias: 5. Skills to identify key ecological and hydrological features and park infrastructure and management interventions was introduced in field activities , SQL Type: sqlTypeOther, length: 255, nullable: true, editable: true, Coded Values: [1: 1], [2: 2], [3: 3], ... 2 more ...)
_6_the_beaver_ponds_park_tour_i (type: esriFieldTypeString, alias: 6. Information to understand form and function of green and gray infrastructure systems that ameliorate pollution and flooding by stormwater was provide in lectures., SQL Type: sqlTypeOther, length: 255, nullable: true, editable: true, Coded Values: [1: 1], [2: 2], [3: 3], ... 2 more ...)
_7_the_litter_field_exercise_in (type: esriFieldTypeString, alias: 7. The plant ID exercise introduced you to observe and identify tree species utilizing a dichotomous key., SQL Type: sqlTypeOther, length: 255, nullable: true, editable: true, Coded Values: [1: 1], [2: 2], [3: 3], ... 2 more ...)
_8_the_gps_data_gathering_field (type: esriFieldTypeString, alias: 8. The individual plant talks presented by students created an opportunity for students to learn from peers, to practice public speaking, and to share key characteristics of assigned species., SQL Type: sqlTypeOther, length: 255, nullable: true, editable: true, Coded Values: [1: 1], [2: 2], [3: 3], ... 2 more ...)
_9_the_content_covered_in_intro (type: esriFieldTypeString, alias: 9. The GPS tree inventory data collection field exercise introduced you to this field methodology using GPS enabled iPhones or Androids as a source of spatially explicit data., SQL Type: sqlTypeOther, length: 255, nullable: true, editable: true, Coded Values: [1: 1], [2: 2], [3: 3], ... 2 more ...)
_10_the_gis_workshop_introduced (type: esriFieldTypeString, alias: 10. The park inventory data collection field exercise introduced you to using a smartphone app to collect data on the condition of the parks’ biophysical features, and infrastructure amenities as a means to determine how well the park systems serves the community. , SQL Type: sqlTypeOther, length: 255, nullable: true, editable: true, Coded Values: [1: 1], [2: 2], [3: 3], ... 2 more ...)
_11_the_role_of_uri_and_related (type: esriFieldTypeString, alias: 11. The urban heat island lecture introduced you examples of spatial correlation of biophysical and socioeconomic data., SQL Type: sqlTypeOther, length: 255, nullable: true, editable: true, Coded Values: [1: 1], [2: 2], [3: 3], ... 2 more ...)
_12_the_litter_field_exercise_i (type: esriFieldTypeString, alias: 12. The litter field exercise introduced you to how conventional stormwater infrastructure (mis)manages litter and water quality and provided a chance to collect semi-quantitative field data., SQL Type: sqlTypeOther, length: 255, nullable: true, editable: true, Coded Values: [1: 1], [2: 2], [3: 3], ... 2 more ...)
_12_the_dinners_created_social_ (type: esriFieldTypeString, alias: 13. The litter statistics report out was a chance to think about reproducibility, representativeness and other field data quality characteristics., SQL Type: sqlTypeOther, length: 255, nullable: true, editable: true, Coded Values: [1: 1], [2: 2], [3: 3], ... 2 more ...)
_14_the_role_of_uri_and_related (type: esriFieldTypeString, alias: 14. Journal Prompts provide an opportunity to reflect and reinforce the learnings of the day., SQL Type: sqlTypeOther, length: 255, nullable: true, editable: true, Coded Values: [1: 1], [2: 2], [3: 3], ... 2 more ...)
_15_the_dinners_created_unstruc (type: esriFieldTypeString, alias: 15. Throughout the week, the URI related community-focused field exercises introduced you to working on community-led environmental protection and restoration efforts. , SQL Type: sqlTypeOther, length: 255, nullable: true, editable: true, Coded Values: [1: 1], [2: 2], [3: 3], ... 2 more ...)
_16_are_you_interested_in_furth (type: esriFieldTypeString, alias: 18. Are you interested in further work in urban ecology? , SQL Type: sqlTypeOther, length: 255, nullable: true, editable: true, Coded Values: [Yes: Yes], [No: No])
_13_in_what_ways_do_you_suggest (type: esriFieldTypeString, alias: 19. We see the urban mod as a chance for students to be exposed to hands-on field activities. In what ways do you suggest changes/ additions to any aspect of the urban module? , SQL Type: sqlTypeOther, length: 1000, nullable: true, editable: true)
_16_the_dinners_created_unstruc (type: esriFieldTypeString, alias: 16. The dinners created unstructured social opportunities for students, as well as introduced you to key resources in town and on campus., SQL Type: sqlTypeOther, length: 255, nullable: true, editable: true, Coded Values: [1: 1], [2: 2], [3: 3], ... 2 more ...)
_17_what_did_you_value_the_most (type: esriFieldTypeString, alias: 17. What did you value the most from your Urban Mods experience?, SQL Type: sqlTypeOther, length: 3000, nullable: true, editable: true)

Templates:

Is Data Versioned: false

Has Contingent Values: false

Supports Rollback On Failure Parameter: true

Last Edit Date: 8/26/2021 6:33:07 PM

Schema Last Edit Date: 8/26/2021 6:33:07 PM

Data Last Edit Date: 8/26/2021 6:33:07 PM

Supported Operations: Query Query Pivot Query Top Features Query Analytic Query Bins Query Attachments Add Features Update Features Apply Edits Calculate Generate Renderer Validate SQL Get Estimates ConvertFormat