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Addition to ArcGIS Solutions Tree Management

599
2
02-05-2024 05:06 PM
Status: Open
JPWillson
by
Emerging Contributor

Within the greater tree care industry there is a subsection called tree risk assessment. I have created my own template for doing tree risk assessments utilizing FieldMaps, but I figured I would share that here so it can be shared with the larger community and hopefully improved upon. This FieldMap allows tree managers to quickly visualize trees b y color based on risk. I have a sample form I can share to provide better context/clairty.

2 Comments
MikeDagle
by Esri Contributor
‎02-06-2024 06:56 AM

Hi @JPWillson - I'm the product owner of the Tree Management Solution. Thanks for sharing this idea; I'd like to learn more. I recall looking at more detailed risk assessments early on as we researched. It'd be great to learn more about risk assessments and what types of organizations perform them. If you're up for sharing screenshots of your form here, I'm sure the community would benefit from seeing your work. I'm also going to send you a direct message to see if we might connect. 

Thanks!

Mike

JPWillson
by
‎03-13-2025 04:16 PM

Mike,

 

Apologies for the delayed response. I approached this by creating a group within a Field Map Form. 

JPWillson_0-1741906928155.png

I then have a drop down for which part of the tree is being assessed (Roots, Branch(es), Trunk, Whole Tree).

The next drop down is for the different options (Imminent, Probable, Possible, Impossible) from the Likelihood of Failure matrix (Matrix I)

JPWillson_2-1741907096742.png

A third drop down follows. This drop down is for the Likelihood of Impact (Very low, Low, Medium, High). These are also from Matrix 1 (above). 

A fourth field is calculated and read-only. This field calculates the middle portion of Matrix 1 (Unlikely, Somewhat likely, Likely, Very likely). The code for this field (which could be optimized) is as follows: 

var failure = $feature.LoF
var impact = $feature.LoI
if ((failure == "Imminent") && (impact == "High")){
  return "Very likely"
} else {
  if ((failure == "Imminent") && (impact == "Medium")){
    return "Likely"
  } else {
    if ((failure == "Imminent") && (impact == "Low")){
      return "Somewhat likely"
    } else {
      if ((failure == "Imminent") && (impact == "Very Low")){
        return "Unlikely"
      } else {
        if ((failure == "Probable") && (impact == "High")){
          return "Likely"
        } else {
          if ((failure == "Probable") && (impact == "Medium")){
            return "Somewhat likely"
          } else {
            if ((failure == "Probable") && (impact == "Low")){
              return "Unlikely"
            } else {
              if ((failure == "Probable") && (impact == "Very Low")){
                return "Unlikely"
              } else {
                if ((failure == "Possible") && (impact == "High")){
                  return "Somewhat likely"
                } else {
                  if ((failure == "Possible") && (impact == "Medium")){
                    return "Unlikely"
                  } else {
                    if ((failure == "Possible") && (impact == "Low")){
                      return "Unlikely"
                    } else {
                      if ((failure == "Possible") && (impact == "Very Low")){
                        return "Unlikely"
                      } else {
                        if (failure == "Improbable")
                        return "Unlikely"
                      }
                    }
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

The next field is another user selectable drop down. This one addresses the Consequences of Failure portion of Matrix 2. The values of the drop down are Negligible, Minor, Significant, Severe.

JPWillson_3-1741907555670.png

The final field is another calculated field that utilizes the last two fields to determine the risk rating of the assessed part from the first field. The arcade for that (which could also be cleaned up) is as follows:

var consequences = $feature.CoF
var lmatrix = $feature.LM
if ((consequences == "Severe") && (lmatrix == "Very likely")){
  return "Extreme"
} else
  if ((consequences =="Severe") && (lmatrix == "Likely")){
    return "High"
    } else
      if ((consequences == "Severe") && (lmatrix == "Somewhat likely")){
        return "Moderate"
        } else
          if ((consequences == "Severe") && (lmatrix == "Unlikely")){
            return "Low"
            } else
              if ((consequences == "Significant") && (lmatrix == "Very likely")){
                return "High"
              } else
                if ((consequences == "Significant") && (lmatrix == "Likely")){
                  return "High"
                } else
                  if ((consequences == "Significant") && (lmatrix == "Somewhat likely")){
                    return "Moderate"
                  } else
                    if ((consequences == "Significant") && (lmatrix == "Unlikely")){
                      return "Low"
                    } else
                      if ((consequences == "Minor") && (lmatrix == "Very likely")){
                        return "Moderate"
                      } else
                        if ((consequences == "Minor") && (lmatrix == "Likely")){
                          return "Moderate"
                        } else
                          if ((consequences == "Minor") && (lmatrix == "Somewhat likely")){
                            return "Low"
                          } else
                            if ((consequences == "Minor") && (lmatrix == "Unlikely")){
                              return "Low"
                            } else
                              if (consequences == "Negligible")
                              return "Low"
if($feature.RRM == "Extreme"){
  return "FF0000"
}
if($feature.RRM == "High"){
  return "FFAA00"
}
if($feature.RRM == "Moderate"){
  return "FFFF00"
}
if($feature.RRM == "Low"){
  return "55FF00"
}
The final portion of the above code color codes the points based on risk rating for easy identification of risk for anyone viewing the data in a dashboard or a webmap.