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Counting attribute value based on location using ArcGIS Pro?
The Next CEO of Stack OverflowUsing Iterators in ArcGIS Pro ModelBuilder?Update all cells in column to match value of first row?Creating parallel line in ArcGIS Pro using ArcPy?Extending lines grouped by same value using ArcPy of ArcGIS Pro?Summary Statistics after Spatial Joining in ModelbuilderAdding value to ArcGIS Pro?Counting Water Crossings using ArcGIS Pro?Iterative selection by attribute and then location using ArcGIS ModelBuilder?Creating routes for each feature within feature class in ModelBuilder without coordinate priority?Counting Block Group Populations in buffers using ArcGIS Pro?
I have a school district polygon divided up by neighborhood, and I am trying to determine the number of students from each grade per neighborhood. The student point file contains an attribute with grades 1-12. I would like the output to be the neighborhood polygons with 12 added columns containing the count of each grade. I am looking to do this with model builder or a script because their are over 200 neighborhoods.
Thus far my research points me to intersect the neighborhood ID numbers to the points, join the students to the neighborhoods, and then use the field calculator to populate a field for each grade.
Is there a simpler way to automate this in ArcGIS Pro, or am I on the right track?
I would rather create a model that counts the attribute 'grade 5'for all points located in each neighborhood and creates a new column or adds it to an attribute column in the neighborhood shapefile, but my brain is frozen at the ModelBuilder.
I have AcrGIS Pro 2.3 with the basic license.
modelbuilder arcgis-pro select-by-attribute statistics
add a comment |
I have a school district polygon divided up by neighborhood, and I am trying to determine the number of students from each grade per neighborhood. The student point file contains an attribute with grades 1-12. I would like the output to be the neighborhood polygons with 12 added columns containing the count of each grade. I am looking to do this with model builder or a script because their are over 200 neighborhoods.
Thus far my research points me to intersect the neighborhood ID numbers to the points, join the students to the neighborhoods, and then use the field calculator to populate a field for each grade.
Is there a simpler way to automate this in ArcGIS Pro, or am I on the right track?
I would rather create a model that counts the attribute 'grade 5'for all points located in each neighborhood and creates a new column or adds it to an attribute column in the neighborhood shapefile, but my brain is frozen at the ModelBuilder.
I have AcrGIS Pro 2.3 with the basic license.
modelbuilder arcgis-pro select-by-attribute statistics
Hint: Summary Statistics tool being the fastest way. There 's probably 4-6 other ways/tool combinations to do this.
– KHibma
yesterday
add a comment |
I have a school district polygon divided up by neighborhood, and I am trying to determine the number of students from each grade per neighborhood. The student point file contains an attribute with grades 1-12. I would like the output to be the neighborhood polygons with 12 added columns containing the count of each grade. I am looking to do this with model builder or a script because their are over 200 neighborhoods.
Thus far my research points me to intersect the neighborhood ID numbers to the points, join the students to the neighborhoods, and then use the field calculator to populate a field for each grade.
Is there a simpler way to automate this in ArcGIS Pro, or am I on the right track?
I would rather create a model that counts the attribute 'grade 5'for all points located in each neighborhood and creates a new column or adds it to an attribute column in the neighborhood shapefile, but my brain is frozen at the ModelBuilder.
I have AcrGIS Pro 2.3 with the basic license.
modelbuilder arcgis-pro select-by-attribute statistics
I have a school district polygon divided up by neighborhood, and I am trying to determine the number of students from each grade per neighborhood. The student point file contains an attribute with grades 1-12. I would like the output to be the neighborhood polygons with 12 added columns containing the count of each grade. I am looking to do this with model builder or a script because their are over 200 neighborhoods.
Thus far my research points me to intersect the neighborhood ID numbers to the points, join the students to the neighborhoods, and then use the field calculator to populate a field for each grade.
Is there a simpler way to automate this in ArcGIS Pro, or am I on the right track?
I would rather create a model that counts the attribute 'grade 5'for all points located in each neighborhood and creates a new column or adds it to an attribute column in the neighborhood shapefile, but my brain is frozen at the ModelBuilder.
I have AcrGIS Pro 2.3 with the basic license.
modelbuilder arcgis-pro select-by-attribute statistics
modelbuilder arcgis-pro select-by-attribute statistics
edited yesterday
PolyGeo♦
53.8k1781245
53.8k1781245
asked yesterday
ZachZach
33
33
Hint: Summary Statistics tool being the fastest way. There 's probably 4-6 other ways/tool combinations to do this.
– KHibma
yesterday
add a comment |
Hint: Summary Statistics tool being the fastest way. There 's probably 4-6 other ways/tool combinations to do this.
– KHibma
yesterday
Hint: Summary Statistics tool being the fastest way. There 's probably 4-6 other ways/tool combinations to do this.
– KHibma
yesterday
Hint: Summary Statistics tool being the fastest way. There 's probably 4-6 other ways/tool combinations to do this.
– KHibma
yesterday
add a comment |
1 Answer
1
active
oldest
votes
Here is a model solution, the key thing is you are summarising data first then pivoting it to turn your grade values into field, so here is my dummy data of two neighbourhoods, points are labelled with grades:
Here is the model:
Firstly you are joining neighbourhood to points to pass the neighbourhood name/id to the points.
The summary stats tool creates a table aggregating by name and grade counting on objectid to get the number of grades per grade level for each neighbourhood
You then pivot this data as shown below:
The resulting table is this:
It is then up to you to join that table back to your neighbourhood data, that could be a final step in the model or something you do manually. If you don't know how to join data, suggest you read the help file.
2
Tick as solved is a proper way to thank.
– FelixIP
yesterday
add a comment |
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1 Answer
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active
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votes
Here is a model solution, the key thing is you are summarising data first then pivoting it to turn your grade values into field, so here is my dummy data of two neighbourhoods, points are labelled with grades:
Here is the model:
Firstly you are joining neighbourhood to points to pass the neighbourhood name/id to the points.
The summary stats tool creates a table aggregating by name and grade counting on objectid to get the number of grades per grade level for each neighbourhood
You then pivot this data as shown below:
The resulting table is this:
It is then up to you to join that table back to your neighbourhood data, that could be a final step in the model or something you do manually. If you don't know how to join data, suggest you read the help file.
2
Tick as solved is a proper way to thank.
– FelixIP
yesterday
add a comment |
Here is a model solution, the key thing is you are summarising data first then pivoting it to turn your grade values into field, so here is my dummy data of two neighbourhoods, points are labelled with grades:
Here is the model:
Firstly you are joining neighbourhood to points to pass the neighbourhood name/id to the points.
The summary stats tool creates a table aggregating by name and grade counting on objectid to get the number of grades per grade level for each neighbourhood
You then pivot this data as shown below:
The resulting table is this:
It is then up to you to join that table back to your neighbourhood data, that could be a final step in the model or something you do manually. If you don't know how to join data, suggest you read the help file.
2
Tick as solved is a proper way to thank.
– FelixIP
yesterday
add a comment |
Here is a model solution, the key thing is you are summarising data first then pivoting it to turn your grade values into field, so here is my dummy data of two neighbourhoods, points are labelled with grades:
Here is the model:
Firstly you are joining neighbourhood to points to pass the neighbourhood name/id to the points.
The summary stats tool creates a table aggregating by name and grade counting on objectid to get the number of grades per grade level for each neighbourhood
You then pivot this data as shown below:
The resulting table is this:
It is then up to you to join that table back to your neighbourhood data, that could be a final step in the model or something you do manually. If you don't know how to join data, suggest you read the help file.
Here is a model solution, the key thing is you are summarising data first then pivoting it to turn your grade values into field, so here is my dummy data of two neighbourhoods, points are labelled with grades:
Here is the model:
Firstly you are joining neighbourhood to points to pass the neighbourhood name/id to the points.
The summary stats tool creates a table aggregating by name and grade counting on objectid to get the number of grades per grade level for each neighbourhood
You then pivot this data as shown below:
The resulting table is this:
It is then up to you to join that table back to your neighbourhood data, that could be a final step in the model or something you do manually. If you don't know how to join data, suggest you read the help file.
edited yesterday
answered yesterday
HornbyddHornbydd
27k32957
27k32957
2
Tick as solved is a proper way to thank.
– FelixIP
yesterday
add a comment |
2
Tick as solved is a proper way to thank.
– FelixIP
yesterday
2
2
Tick as solved is a proper way to thank.
– FelixIP
yesterday
Tick as solved is a proper way to thank.
– FelixIP
yesterday
add a comment |
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Hint: Summary Statistics tool being the fastest way. There 's probably 4-6 other ways/tool combinations to do this.
– KHibma
yesterday