I just got a vegetation raster. Its pixels have several fields (i.e. basal area oaks, density of oaks, volume of oaks, pixel value, etc). How do I extract only selected field values to a set of XY points?
The primary tool that you'll be working with is Raster to Point (Conversion toolbox). It includes a parameter to pick which field to pull data from:
The Field parameter allows you to choose which attribute field of the input raster dataset will become an attribute in the output feature class. If a field is not specified, the cell values of the input raster (the VALUE field) will become a column with the heading Grid_code in the attribute table of the output feature class.
If you want to exclude certain values or subset the data, that can be done either before converting (using Con or similar) or after (select by attribute and export or delete). Doing it afterwards gives you a bit more flexibility, but leads to larger point datasets.
Related
I am learning Unreal and currently building tree models. I am wanting to change the colour of the leaves between 3 texture samples based on random numbers, and while I have created a blueprint that can compare between numbers and output the correct colour, I can't find an input node that will assign a random number to each of the leaves.
The tree model is all one mesh however the vertices for the leaves are not connected between leaves. If I go into Unreals Modelling Mode and choose the TriSel (Triangle Select) tool I can select each leaf separately with one click, though I cant figure out any way to use this in the material editor.
I have attached a screenshot of the node group to select the base colour image below (the output of this group goes to the "Base Color" input). Currently the "Temp" value is changed manually (which changes the colour of all the leaves with this material), however that is where I want to input the random value for each leaf, if I can.
Thanks,
Dan
So, it's my first time trying to make my own data visualization, and what I want to do is something like a heat map or highlighted table like the original Kohonen (but using squares rather than hexagons) research about countries, but I don't know how to apply it to the map I've got from training the network.
I've read a few links about making a highlighted table and heat map on Tableau, but what I get is always just a table mainly because I'm not using a measure (i just want every country of one color), so, my question is: is it possible to use Tableau for this situation and if so, how could I do it? Thanks!
Original SOM visualization from Dr. Kohonen
Table from Tableau
Yes it is possible to make visualizations like you describe in Tableau - but the question you posed is a bit vaguely specified to give you much more detailed guidance than first take some Tableau training.
For instance, how do you want to determine which row and column to place a country? You may need to write a table calc for row and col positions, which means learning about table calcs. Or you can assign them in a data column.
For square country marks, you'll want a discrete field on the rows shelf, a discrete field on the columns shelf, possible a dimension like Country name on the details shelf. Choose a square mark type, and (important) choose a square cell size from the format menu. Then adjust the size of your squares from the size button and the format menu, and colors and borders from the color button and format pane.
Lots to play with.
I am attempting to create a dynamic webmap to display varying values across a grid of polygons. Within each grid cell there are multiple overlapping polygons (grid cells) each with a unique value. I would like aggregate these values to give a total value for each grid cell which relates to the sum of each of the overlapping values. These would then be displayed using a quantitative color gradient.
I would dissolve this layer and sum each overlapping polygon's value and display it as a flat single feature per cell, however I have also added the ability for users to filter specific values out relating to a descriptive attribute within the table.
The approach I have tried was to
Create a flat empty grid with single cells.
Took the centroid of the each overlapping polygon.
This left me with a point layer of overlapping features (value) and a polygon layer of a grid with only an ID code.
Within the WebMap builder I have set the symbology of the grid using the Arcade expression:
var centroid = FeatureSetByName($map,"centroid_values")
IIf(Contains($feature, centroid), Sum(value), 0)
This aims to sum the "value" of the each point contained within the single empty grid cell and display it. This would mean if the user was to filter the points based off an attribute the symbology would be dynamic.
However, I am running into the error:
Parse Error:featuresetbyname is not available
Is it possible to incorporate a separate featureset from the map into the symbology expression for a layer?
The featureset functions appear to be greyed out an labelled 'Not Available' within the function list.
Any other approaches to overcome the problem outlined above would be greatly appreciated. I have experimented with joins however the number of records means it is extremely slow to process and is not dynamic when the user filters out records.
I have 5 columns.
SAMPLE HIGH MEDIUM LOW TOTAL
A________________5______________4______________7_____16
B________________5______________4______________7_____16
C________________5______________4______________7_____16
D________________5______________4______________7_____16
I want to be able to calculate for each sample the percentage of High Medium Low.
High/ total = new value
medium/total = new value
low/total=new value
How do I do this in Tableau?
You can read here for more details, but the general way is to right click on the Dimensions or Measures small window and then click on Create Calculated Field.
When the windows opens, in your case, you'll want to create a new name for the 'New Value', and then for the Formula section you should put:
[HIGH]/[TOTAL]
Just make sure that these are recognized as floats or integers (and not strings). If you select the variables in the Fields section, you are more likely to get exactly what you want. Also, there is a preview on the right of the data type.
I have the following dataset:
Which creates the following line graph with Roletype as the category group and experience as the value:
How can I pivot this graph so Roletype is on the y axis and values are on the x axis?
I think you are actually using an area chart rather than a line chart, but both function the same way. The y-axis measures a numerical value. You indicate what is on the y-axis by placing something in the values area. If you use a field that isn't a number, it's going to try to sum it or count it or aggregate it in some way. You should use a different chart type to effectively display non-numerical data (see this article about choosing the correct chart type). If you want to assign values to your role-types and then display the description on the axis you could do that. I wouldn't necessarily recommend it as an effective way to communicate your message.
To show use the values for the y-axis, add the role-type values field to your dataset. Use that in the values for your chart and aggregate by avg. Follow the instructions in the accepted answer here. You basically set the number type for your vertical axis labels to custom and then add the list of possible values. This only works if you know exactly what values you are expecting.