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I can't show you the app but I want to have the capability to turn the layers on and off and maintain the symbology for all the layers in a separate legend. I considered the screen capture in an about panel, it will be plan B if needed.
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09-26-2017
11:05 AM
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0
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0
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503
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Is there a template or WAB widget that displays the entire legend of a map whether the layers are turned on or not?
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09-25-2017
06:49 AM
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0
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2
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624
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The field REG contains the regional mean to calculate the scores from. The same result could be obtained summing the tracts for the field of interest and calculating it against the summed total population - but again I don't think this would have been obvious without further explanation. Taking the mean of the percentages creates an unstable result - the regional mean would vary depending on if you used tracts, counties, or other geography. Summing the geographies and taking the percent from the sum gives a consistent number for the region. But this script is a great help and I will put it to good use.
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08-07-2017
01:26 PM
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1
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1
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371
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Thank you so much for your help, this works great. The math isn't quite right but I don't think that could have been guessed from my model without a detailed explanation, I can easily adjust it.
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08-07-2017
08:56 AM
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0
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3
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1641
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Sure, it's all derived from Census data. Here is the file gdb. The model creates a statistics table for each table in the gdb and uses the data from the statistics tables to modify the main table. www.northarrow.org/GIS/VPI_gdb.zip
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08-03-2017
08:19 AM
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0
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6
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1641
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# -*- coding: utf-8 -*- # --------------------------------------------------------------------------- # VPI_single_interative_BM_export.py # Created on: 2017-08-03 10:21:29.00000 # (generated by ArcGIS/ModelBuilder) # Description: # --------------------------------------------------------------------------- # Import arcpy module import arcpy # Load required toolboxes arcpy.ImportToolbox("Model Functions") # Local variables: VPI_Intervals_Around_Mean_results_gdb = "P:\\Trans\\Technical\\Data Development\\Internal\\EnvironmentalStudies\\EJ2017\\gdb\\VPI_Intervals_Around_Mean_results.gdb" Disability = "\\\\bmc\\dfs\\Projects\\Trans\\Technical\\Data Development\\Internal\\EnvironmentalStudies\\EJ2017\\gdb\\VPI_Intervals_Around_Mean_results.gdb\\Disability" Output_Feature_Class__23_ = Disability Statistics_table = "\\\\bmc\\dfs\\Projects\\Trans\\Technical\\Data Development\\Internal\\EnvironmentalStudies\\EJ2017\\gdb\\VPI_Intervals_Around_Mean_results.gdb\\%TableName%_Statistics" Min = Statistics_table Max = Statistics_table Mean = Statistics_table Output_Feature_Class = Statistics_table Output_Feature_Class__2_ = Output_Feature_Class Output_Feature_Class__3_ = Output_Feature_Class__2_ Output_Feature_Class__4_ = Output_Feature_Class__3_ Poverty__Statistics__2_ = Output_Feature_Class__4_ Output_Feature_Class__5_ = Poverty__Statistics__2_ Output_Feature_Class__6_ = Output_Feature_Class__5_ RBM = Output_Feature_Class__5_ RAM = Output_Feature_Class__5_ Output_Feature_Class__7_ = Output_Feature_Class__6_ RBM_Quartile = Output_Feature_Class__7_ RAM_Quartile = Output_Feature_Class__7_ Poverty__Statistics__3_ = Output_Feature_Class__7_ Output_Feature_Class__8_ = Poverty__Statistics__3_ Output_Feature_Class__9_ = Output_Feature_Class__8_ Output_Feature_Class__10_ = Output_Feature_Class__9_ Output_Feature_Class__11_ = Output_Feature_Class__10_ Output_Feature_Class__12_ = Output_Feature_Class__11_ Output_Feature_Class__13_ = Output_Feature_Class__12_ Output_Feature_Class__14_ = Output_Feature_Class__13_ Output_Feature_Class__15_ = Output_Feature_Class__14_ Output_Feature_Class__16_ = Output_Feature_Class__15_ Output_Feature_Class__17_ = Output_Feature_Class__16_ Output_Feature_Class__18_ = Output_Feature_Class__17_ Output_Feature_Class__19_ = Output_Feature_Class__18_ Output_Feature_Class__20_ = Output_Feature_Class__19_ Output_Feature_Class__21_ = Output_Feature_Class__20_ Output_Feature_Class__22_ = Output_Feature_Class__21_ Score1 = Output_Feature_Class__22_ Score2 = Output_Feature_Class__22_ Score3 = Output_Feature_Class__22_ Score4 = Output_Feature_Class__22_ Score5 = Output_Feature_Class__22_ Score6 = Output_Feature_Class__22_ Score7 = Output_Feature_Class__22_ Score8 = Output_Feature_Class__22_ v_TableName__Table_View = "%TableName%_Table_View" Output_Layer_Name__5_ = v_TableName__Table_View Output_Feature_Class__24_ = Output_Layer_Name__5_ Output_Layer_Name__7_ = Output_Feature_Class__24_ Output_Feature_Class__28_ = Output_Layer_Name__7_ Output_Layer_Name__6_ = Output_Feature_Class__28_ Output_Feature_Class__29_ = Output_Layer_Name__6_ Output_Layer_Name = Output_Feature_Class__29_ Output_Feature_Class__25_ = Output_Layer_Name Output_Layer_Name__2_ = Output_Feature_Class__25_ Output_Feature_Class__26_ = Output_Layer_Name__2_ Output_Layer_Name__3_ = Output_Feature_Class__26_ Output_Feature_Class__30_ = Output_Layer_Name__3_ Output_Layer_Name__4_ = Output_Feature_Class__30_ Output_Feature_Class__27_ = Output_Layer_Name__4_ Output_Layer_Name__8_ = Output_Feature_Class__27_ Output_Feature_Class__31_ = Output_Layer_Name__8_ Output_Layer_Name__9_ = Output_Feature_Class__31_ TableName = "Disability" Name = "Disability" # Process: Iterate Tables arcpy.IterateTables_mb(VPI_Intervals_Around_Mean_results_gdb, "", "", "NOT_RECURSIVE") # Process: Summary Statistics arcpy.Statistics_analysis(Disability, Statistics_table, "PCT MIN;PCT MAX;REG FIRST", "") # Process: Get Min arcpy.GetFieldValue_mb(Statistics_table, "MIN_PCT", "Any value", "0") # Process: Get Max arcpy.GetFieldValue_mb(Statistics_table, "MAX_PCT", "Any value", "0") # Process: Get Mean arcpy.GetFieldValue_mb(Statistics_table, "FIRST_REG", "Any value", "0") # Process: Add Field Range Below Mean arcpy.AddField_management(Statistics_table, "Range_Below_Mean", "DOUBLE", "18", "18", "", "", "NULLABLE", "NON_REQUIRED", "") # Process: Add Field Range Above Mean arcpy.AddField_management(Output_Feature_Class, "Range_Above_Mean", "DOUBLE", "18", "18", "", "", "NULLABLE", "NON_REQUIRED", "") # Process: Add Field RBM Quartile arcpy.AddField_management(Output_Feature_Class__2_, "RBM_Quartile", "DOUBLE", "18", "18", "", "", "NULLABLE", "NON_REQUIRED", "") # Process: Add Field RAM Quartile arcpy.AddField_management(Output_Feature_Class__3_, "RAM_Quartile", "DOUBLE", "18", "18", "", "", "NULLABLE", "NON_REQUIRED", "") # Process: Calculate Range Below Mean arcpy.CalculateField_management(Output_Feature_Class__4_, "Range_Below_Mean", "%Mean%-%Min%", "VB", "") # Process: Calculate Range Above Mean arcpy.CalculateField_management(Poverty__Statistics__2_, "Range_Above_Mean", "%Max%-%Mean%", "VB", "") # Process: Get RAM arcpy.GetFieldValue_mb(Output_Feature_Class__5_, "Range_Above_Mean", "Any value", "0") # Process: Get RBM arcpy.GetFieldValue_mb(Output_Feature_Class__5_, "Range_Below_Mean", "Any value", "0") # Process: Calculate RBM Quartile arcpy.CalculateField_management(Output_Feature_Class__5_, "RBM_Quartile", "%RBM%/4", "VB", "") # Process: Calculate RAM Quartile arcpy.CalculateField_management(Output_Feature_Class__6_, "RAM_Quartile", "%RAM%/4", "VB", "") # Process: Get RBM Quartile arcpy.GetFieldValue_mb(Output_Feature_Class__7_, "RBM_Quartile", "Any value", "0") # Process: Get RAM Quartile arcpy.GetFieldValue_mb(Output_Feature_Class__7_, "RAM_Quartile", "Any value", "0") # Process: Add Field Score1 (RBM value) arcpy.AddField_management(Output_Feature_Class__7_, "Score1", "DOUBLE", "18", "18", "", "", "NULLABLE", "NON_REQUIRED", "") # Process: Add Field Score2 (RBM value) arcpy.AddField_management(Poverty__Statistics__3_, "Score2", "DOUBLE", "18", "18", "", "", "NULLABLE", "NON_REQUIRED", "") # Process: Add Field Score3 (RBM value) arcpy.AddField_management(Output_Feature_Class__8_, "Score3", "DOUBLE", "18", "18", "", "", "NULLABLE", "NON_REQUIRED", "") # Process: Add Field Score4 (RBM value) arcpy.AddField_management(Output_Feature_Class__9_, "Score4", "DOUBLE", "18", "18", "", "", "NULLABLE", "NON_REQUIRED", "") # Process: Add Field Score5 (RAM value) arcpy.AddField_management(Output_Feature_Class__10_, "Score5", "DOUBLE", "18", "18", "", "", "NULLABLE", "NON_REQUIRED", "") # Process: Add Field Score6 (RAM value) arcpy.AddField_management(Output_Feature_Class__11_, "Score6", "DOUBLE", "18", "18", "", "", "NULLABLE", "NON_REQUIRED", "") # Process: Add Field Score7 (RAM value) arcpy.AddField_management(Output_Feature_Class__12_, "Score7", "DOUBLE", "18", "18", "", "", "NULLABLE", "NON_REQUIRED", "") # Process: Add Field Score8 (RAM value) arcpy.AddField_management(Output_Feature_Class__13_, "Score8", "DOUBLE", "18", "18", "", "", "NULLABLE", "NON_REQUIRED", "") # Process: Calculate Score1 arcpy.CalculateField_management(Output_Feature_Class__14_, "Score1", "%Min%+%RBM_Quartile%", "VB", "") # Process: Calculate Score2 arcpy.CalculateField_management(Output_Feature_Class__15_, "Score2", "%Min%+%RBM_Quartile%+%RBM_Quartile%", "VB", "") # Process: Calculate Score3 arcpy.CalculateField_management(Output_Feature_Class__16_, "Score3", "%Min%+%RBM_Quartile%+%RBM_Quartile%+%RBM_Quartile%", "VB", "") # Process: Calculate Score4 arcpy.CalculateField_management(Output_Feature_Class__17_, "Score4", "%Min%+%RBM_Quartile%+%RBM_Quartile%+%RBM_Quartile%+%RBM_Quartile%", "VB", "") # Process: Calculate Score5 arcpy.CalculateField_management(Output_Feature_Class__18_, "Score5", "%Min%+%RBM_Quartile%+%RBM_Quartile%+%RBM_Quartile%+%RBM_Quartile%+%RAM_Quartile%", "VB", "") # Process: Calculate Score6 arcpy.CalculateField_management(Output_Feature_Class__19_, "Score6", "%Min%+%RBM_Quartile%+%RBM_Quartile%+%RBM_Quartile%+%RBM_Quartile%+%RAM_Quartile%+%RAM_Quartile%", "VB", "") # Process: Calculate Score7 arcpy.CalculateField_management(Output_Feature_Class__20_, "Score7", "%Min%+%RBM_Quartile%+%RBM_Quartile%+%RBM_Quartile%+%RBM_Quartile%+%RAM_Quartile%+%RAM_Quartile%+%RAM_Quartile%", "VB", "") # Process: Calculate Score8 +1 in case there is shortfall from decimal differences arcpy.CalculateField_management(Output_Feature_Class__21_, "Score8", "%Min%+%RBM_Quartile%+%RBM_Quartile%+%RBM_Quartile%+%RBM_Quartile%+%RAM_Quartile%+%RAM_Quartile%+%RAM_Quartile%+%RAM_Quartile%+1", "VB", "") # Process: Get Score1 arcpy.GetFieldValue_mb(Output_Feature_Class__22_, "Score1", "Any value", "0") # Process: Get Score2 arcpy.GetFieldValue_mb(Output_Feature_Class__22_, "Score2", "Any value", "0") # Process: Get Score3 arcpy.GetFieldValue_mb(Output_Feature_Class__22_, "Score3", "Any value", "0") # Process: Get Score4 arcpy.GetFieldValue_mb(Output_Feature_Class__22_, "Score4", "Any value", "0") # Process: Get Score5 arcpy.GetFieldValue_mb(Output_Feature_Class__22_, "Score5", "Any value", "0") # Process: Get Score6 arcpy.GetFieldValue_mb(Output_Feature_Class__22_, "Score6", "Any value", "0") # Process: Get Score7 arcpy.GetFieldValue_mb(Output_Feature_Class__22_, "Score7", "Any value", "0") # Process: Get Score8 arcpy.GetFieldValue_mb(Output_Feature_Class__22_, "Score8", "Any value", "0") # Process: Add Score Class Field to Data Table arcpy.AddField_management(Disability, "Score_%TableName%", "LONG", "12", "", "", "", "NULLABLE", "NON_REQUIRED", "") # Process: Make Table View arcpy.MakeTableView_management(Output_Feature_Class__23_, v_TableName__Table_View, "", "", "OBJECTID OBJECTID VISIBLE NONE;GEOID GEOID VISIBLE NONE;GEOID2 GEOID2 VISIBLE NONE;NAME NAME VISIBLE NONE;EST_TOTALPOP EST_TOTALPOP VISIBLE NONE;MOE_TOTALPOP MOE_TOTALPOP VISIBLE NONE;EST_DISABLED_M_under5 EST_DISABLED_M_under5 VISIBLE NONE;MOE_DISABLED_M_under5 MOE_DISABLED_M_under5 VISIBLE NONE;EST_DISABLED_M_5_17_yr EST_DISABLED_M_5_17_yr VISIBLE NONE;MOE_DISABLED_M_5_17_yr MOE_DISABLED_M_5_17_yr VISIBLE NONE;EST_DISABLED_M_18_34_yr EST_DISABLED_M_18_34_yr VISIBLE NONE;MOE_DISABLED_M_18_34_yr MOE_DISABLED_M_18_34_yr VISIBLE NONE;EST_DISABLED_M_35_64_yr EST_DISABLED_M_35_64_yr VISIBLE NONE;MOE_DISABLED_M_35_64_yr MOE_DISABLED_M_35_64_yr VISIBLE NONE;EST_DISABLED_M_65_74_yr EST_DISABLED_M_65_74_yr VISIBLE NONE;MOE_DISABLED_M_65_74_yr MOE_DISABLED_M_65_74_yr VISIBLE NONE;EST_DISABLED_M_75yr_up EST_DISABLED_M_75yr_up VISIBLE NONE;MOE_DISABLED_M_75yr_up MOE_DISABLED_M_75yr_up VISIBLE NONE;EST_DISABLED_F_under5 EST_DISABLED_F_under5 VISIBLE NONE;MOE_DISABLED_F_under5 MOE_DISABLED_F_under5 VISIBLE NONE;EST_DISABLED_F_5_17_yr EST_DISABLED_F_5_17_yr VISIBLE NONE;MOE_DISABLED_F_5_17_yr MOE_DISABLED_F_5_17_yr VISIBLE NONE;EST_DISABLED_F_18_34_yr EST_DISABLED_F_18_34_yr VISIBLE NONE;MOE_DISABLED_F_18_34_yr MOE_DISABLED_F_18_34_yr VISIBLE NONE;EST_DISABLED_F_35_64_yr EST_DISABLED_F_35_64_yr VISIBLE NONE;MOE_DISABLED_F_35_64_yr MOE_DISABLED_F_35_64_yr VISIBLE NONE;EST_DISABLED_F_65_74_yr EST_DISABLED_F_65_74_yr VISIBLE NONE;MOE_DISABLED_F_65_74_yr MOE_DISABLED_F_65_74_yr VISIBLE NONE;EST_DISABLED_F_75yr_up EST_DISABLED_F_75yr_up VISIBLE NONE;MOE_DISABLED_F_75yr_up MOE_DISABLED_F_75yr_up VISIBLE NONE;EST_DISABLED EST_DISABLED VISIBLE NONE;PCT_DISABLED PCT_DISABLED VISIBLE NONE;REG_PCT_DISABLED REG_PCT_DISABLED VISIBLE NONE;PCT PCT VISIBLE NONE;REG REG VISIBLE NONE;COUNTY_FIPS COUNTY_FIPS VISIBLE NONE;Score_%TableName% Score_%TableName% VISIBLE NONE") # Process: Select 1st category arcpy.SelectLayerByAttribute_management(v_TableName__Table_View, "NEW_SELECTION", "PCT <=%Score1%") # Process: Calculate Field Score=1 arcpy.CalculateField_management(Output_Layer_Name__5_, "Score_%TableName%", "1", "VB", "") # Process: Select 2nd category arcpy.SelectLayerByAttribute_management(Output_Feature_Class__24_, "NEW_SELECTION", "PCT >%Score1% AND PCT <=%Score2%") # Process: Calculate Field Score=2 arcpy.CalculateField_management(Output_Layer_Name__7_, "Score_%TableName%", "2", "VB", "") # Process: Select 3rd category arcpy.SelectLayerByAttribute_management(Output_Feature_Class__28_, "NEW_SELECTION", "PCT >%Score2% AND PCT <=%Score3%") # Process: Calculate Field Score=3 arcpy.CalculateField_management(Output_Layer_Name__6_, "Score_%TableName%", "3", "VB", "") # Process: Select 4th category arcpy.SelectLayerByAttribute_management(Output_Feature_Class__29_, "NEW_SELECTION", "PCT >%Score3% AND PCT <=%Score4%") # Process: Calculate Field Score=4 arcpy.CalculateField_management(Output_Layer_Name, "Score_%TableName%", "4", "VB", "") # Process: Select 5th category arcpy.SelectLayerByAttribute_management(Output_Feature_Class__25_, "NEW_SELECTION", "PCT >%Score4% AND PCT <=%Score5%") # Process: Calculate Field Score=5 arcpy.CalculateField_management(Output_Layer_Name__2_, "Score_%TableName%", "5", "VB", "") # Process: Select 6th category arcpy.SelectLayerByAttribute_management(Output_Feature_Class__26_, "NEW_SELECTION", "PCT >%Score5% AND PCT <=%Score6%") # Process: Calculate Field Score=6 arcpy.CalculateField_management(Output_Layer_Name__3_, "Score_%TableName%", "6", "VB", "") # Process: Select 7th category arcpy.SelectLayerByAttribute_management(Output_Feature_Class__30_, "NEW_SELECTION", "PCT >%Score6% AND PCT <=%Score7%") # Process: Calculate Field Score=7 arcpy.CalculateField_management(Output_Layer_Name__4_, "Score_%TableName%", "7", "VB", "") # Process: Select 8th category arcpy.SelectLayerByAttribute_management(Output_Feature_Class__27_, "NEW_SELECTION", "PCT >%Score7%") # Process: Calculate Field Score=8 arcpy.CalculateField_management(Output_Layer_Name__8_, "Score_%TableName%", "8", "VB", "") # Process: Clear selection arcpy.SelectLayerByAttribute_management(Output_Feature_Class__31_, "CLEAR_SELECTION", "") # Process: Parse Path arcpy.ParsePath_mb(Disability, "NAME")
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08-03-2017
07:25 AM
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0
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0
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1641
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POST
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The model is not particularly complicated, but it uses GET 15 times. I am not great with Python so if I can find an MB solution I'd like to.
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08-03-2017
07:02 AM
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0
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2
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1641
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Hello. I have a data processing model in ModelBuilder that makes heavy use of the "Get field value" tool. I need to iterate the model over many tables in a geodatabase. When I do this, I do not get the correct values on the output based on the Get field - for each input table, the output is the same each time. I think what is happening is the Get values are being held over from the first run of the model and not being picked up again with values from the next table as the model re-runs. I have also had the same issue trying to use batch on the model. Is there some command I can add to the end of the model that will clear the Get values from the system memory? This is in Desktop 10.4.
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08-03-2017
06:03 AM
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0
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13
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2671
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Still the exact same issue. Changes to the theme revert to #000000 and the theme colors themselves don't change. I have attached a browser console log for Firefox. In case these images aren't legible, here is a copy of the log. This records logging in to AGOL, going to Open Data, opening the site, changing the theme colors, clicking Apply, Save, and Preview. "Handler function threw an exception: TypeError: this.transport is null
Stack: send@resource://gre/modules/commonjs/toolkit/loader.js -> resource://devtools/server/main.js:1429:5
NEA_addSecurityInfo@resource://gre/modules/commonjs/toolkit/loader.js -> resource://devtools/server/actors/webconsole.js:2168:5
NetworkResponseListener.prototype._getSecurityInfo<@resource://gre/modules/commonjs/toolkit/loader.js -> resource://devtools/shared/webconsole/network-monitor.js:508:5
exports.makeInfallible/<@resource://gre/modules/commonjs/toolkit/loader.js -> resource://devtools/shared/ThreadSafeDevToolsUtils.js:101:14
NetworkResponseListener.prototype.onStartRequest@resource://gre/modules/commonjs/toolkit/loader.js -> resource://devtools/shared/webconsole/network-monitor.js:457:5
Line: 1429, column: 5" ThreadSafeDevToolsUtils.js:80
Key event not available on some keyboard layouts: key=“c” modifiers=“accel,alt” browser.xul
Key event not available on some keyboard layouts: key=“r” modifiers=“accel,alt” browser.xul
Key event not available on some keyboard layouts: key=“i” modifiers=“accel,alt,shift” browser.xul
torii-provider-arcgis.fetch called... opendata-ui-db943b38a7eeac6b30e5ea00ee7ad9b9.js:29:27066
Password fields present on an insecure (http://) page. This is a security risk that allows user login credentials to be stolen.[Learn More] opendata.arcgis.com
Use of getAttributeNode() is deprecated. Use getAttribute() instead. init.js:197:418
cdn server url: //cdn.arcgis.com/cdn/20355 config.js:570:7
cdn server url: //cdn.arcgis.com/cdn/20355 config.js:570:7
The character encoding of a framed document was not declared. The document may appear different if viewed without the document framing it. postsignin.html
cdn server url: //cdn.arcgis.com/cdn/20355 config.js:570:7
Use of getAttributeNode() is deprecated. Use getAttribute() instead. dojo.js:219:64
cdn server url: //cdn.arcgis.com/cdn/20355 config.js:570:7
Use of getAttributeNode() is deprecated. Use getAttribute() instead. dojo.js:219:64
Firefox can’t establish a connection to the server at https://community.esri.com/socket?when=open&transport=sse&heartbeat=false&lastEventId=0&id=a2adcde6-298d-46a1-8dca-77b4459313a6&_=1481812743434. app.js:136:21184
torii-provider-arcgis.fetch called... opendata-admin-56ca48483eed766ce75e392857a543fe.js:30:9772
Use of getAttributeNode() is deprecated. Use getAttribute() instead. init.js:142:436
site-header::preview true vendor-f08c0bf949258f9fc373b1981b75dd14.js:42:21046
ember-intl: translation: 'components.od_search.label.find' on locale: 'en-us' was not found. opendata-admin-56ca48483eed766ce75e392857a543fe.js:32:1281
Loading mixed (insecure) display content “http://gis.baltometro.org/graphics/bmc-wheel-fb-white.png” on a secure page[Learn More] vendor-f08c0bf949258f9fc373b1981b75dd14.js:3:28515
Use of document.createAttribute() is deprecated. Use element.setAttribute() instead. vendor-f08c0bf949258f9fc373b1981b75dd14.js:33:977
Use of setAttributeNode() is deprecated. Use setAttribute() instead. vendor-f08c0bf949258f9fc373b1981b75dd14.js:33:1021
Loading mixed (insecure) display content “http://gis.baltometro.org/graphics/Thumbnail_Traffic_Count.png” on a secure page[Learn More] vendor-f08c0bf949258f9fc373b1981b75dd14.js:60:1821
Loading mixed (insecure) display content “http://gis.baltometro.org/graphics/Thumbnail_ACS0812_QuickFacts.png” on a secure page[Learn More] vendor-f08c0bf949258f9fc373b1981b75dd14.js:60:1821
Loading mixed (insecure) display content “http://gis.baltometro.org/graphics/Thumbnail_Building_Permits.png” on a secure page[Learn More] vendor-f08c0bf949258f9fc373b1981b75dd14.js:60:1821
Loading mixed (insecure) display content “http://gis.baltometro.org/graphics/Thumbnail_Max2040_StoryMap.png” on a secure page[Learn More] vendor-f08c0bf949258f9fc373b1981b75dd14.js:60:1821
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Loading mixed (insecure) display content “http://gis.baltometro.org/graphics/Thumbnail_ACS0812_QuickFacts.png” on a secure page[Learn More] vendor-f08c0bf949258f9fc373b1981b75dd14.js:33:1021
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Loading mixed (insecure) display content “http://gis.baltometro.org/graphics/Thumbnail_ACS0812_QuickFacts.png” on a secure page[Learn More] vendor-f08c0bf949258f9fc373b1981b75dd14.js:4:2169
Loading mixed (insecure) display content “http://gis.baltometro.org/graphics/Thumbnail_Building_Permits.png” on a secure page[Learn More] vendor-f08c0bf949258f9fc373b1981b75dd14.js:4:2169
Loading mixed (insecure) display content “http://gis.baltometro.org/graphics/Thumbnail_Max2040_StoryMap.png” on a secure page[Learn More] vendor-f08c0bf949258f9fc373b1981b75dd14.js:4:2169
Loading mixed (insecure) display content “http://gis.baltometro.org/graphics/traffic.jpg” on a secure page[Learn More] jquery.min.js:3:13325
Blocked loading mixed active content “http://prod-od-umbrella.s3-website-us-east-1.amazonaws.com/assets/fonts/glyphicons-halflings-regular-448c34a56d699c29117adc64c43affeb.woff2”[Learn More] edit
downloadable font: download failed (font-family: "Glyphicons Halflings" style:normal weight:normal stretch:normal src index:1): content blocked source: http://prod-od-umbrella.s3-website-us-east-1.amazonaws.com/assets/fonts/glyphicons-halflings-regular-448c34a56d699c29117adc64c43affeb.woff2 preview-css-b81ccb466c5ac8d5e49dac72ad807f1871e9a021.css:25:18769
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TYPECLASS: site opendata-admin-56ca48483eed766ce75e392857a543fe.js:25:14999
ember-intl: translation: 'components.od_search.label.find' on locale: 'en-us' was not found. opendata-admin-56ca48483eed766ce75e392857a543fe.js:32:1281
torii-provider-arcgis.fetch called... opendata-ui-db943b38a7eeac6b30e5ea00ee7ad9b9.js:29:27066
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Use of document.createAttribute() is deprecated. Use element.setAttribute() instead. vendor-bb026dc6cd399f215b23c8102e55b33b.js:33:1687
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Use of getAttributeNode() is deprecated. Use getAttribute() instead. init.js:197:418
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12-15-2016
06:49 AM
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We maintain an SDE for office-wide use with several hundred layers. Our preferred method of organizing the data is to separate it by topic (boundaries, hydro, etc.) so users have an easy time searching for what they need. The current method is to have the data broken up into feature data sets. This has been problematic since the beginning. Performance is slow, the whole data set gets locked from editing if any single layer is in use, and you can't store tables. Previously to that the data was organized into different SQL databases, one per topic. I don't know the technical details of that system but I know it was cumbersome to navigate and IT had some additional concerns with it. Is there a better way to do this? We are getting ready for a server upgrade and it would be a good time to revisit the issue.
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09-07-2016
01:29 PM
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I have several web mapping applications that are listed in my Open Data site. They were added to AGOL as "document" items (as per ESRI's instructions) and shared with an Open Data group. The links to these apps in the Open Data preview website are all https. This causes several of the maps not to work due to a conflict between the non-https services and the https application. The links to the applications were not added to AGOL as https, which is reflected on the Details page of each app. Under security settings, "Allow access to the organization through HTTPS only." is NOT checked and "Allow anonymous access" is checked. Any idea how to stop the Open Data site from forcing the document links to https?
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05-16-2016
10:36 AM
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3083
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Had anyone had any luck standing up the "Land Use Public Comment" template? It can be found at http://www.arcgis.com/home/item.html?id=76671a0cf4954b3bad18ac2ef06346b2 I cannot get it to work and I would like to find a working example to compare my config files to if someone doesn't mind sharing the code.
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07-30-2015
12:56 PM
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2552
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Had anyone had any luck standing up the "Land Use Public Comment" template? It can be found at http://www.arcgis.com/home/item.html?id=76671a0cf4954b3bad18ac2ef06346b2 I cannot get it to work and I would like to find a working example to compare my config files to if someone doesn't mind sharing the code.
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07-30-2015
12:54 PM
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