Wolfram Research

Sample Data: US Ozone 2021

Source Notebook

Total ozone over the US measured on 5 August 2021

Details

Total ozone in Dobson units, measured over regular grid over contiguous US on Aug 5th, 2021.

Examples

Basic Examples (1) 

In[1]:=
ResourceData[\!\(\*
TagBox["\"\<Sample Data: US Ozone 2021\>\"",
#& ,
BoxID -> "ResourceTag-Sample Data: US Ozone 2021-Input",
AutoDelete->True]\), "Data"]
Out[1]=

Summary of the spatial point data:

In[2]:=
ResourceData[\!\(\*
TagBox["\"\<Sample Data: US Ozone 2021\>\"",
#& ,
BoxID -> "ResourceTag-Sample Data: US Ozone 2021-Input",
AutoDelete->True]\), "Data"]["Summary"]
Out[2]=

Visualizations (1) 

Plot the spatial point data:

In[3]:=
Legended[PointValuePlot[ResourceData[\!\(\*
TagBox["\"\<Sample Data: US Ozone 2021\>\"",
#& ,
BoxID -> "ResourceTag-Sample Data: US Ozone 2021-Input",
AutoDelete->True]\), "Data"], ColorFunction -> "Rainbow"], BarLegend[{"Rainbow", MinMax[ResourceData[\!\(\*
TagBox["\"\<Sample Data: US Ozone 2021\>\"",
#& ,
BoxID -> "ResourceTag-Sample Data: US Ozone 2021-Input",
AutoDelete->True]\), "Annotations"]]}]]
Out[3]=

Analysis (3) 

Use SpatialEstimate to create a continuous estimate from sparse observation locations:

In[4]:=
est = SpatialEstimate[ResourceData[\!\(\*
TagBox["\"\<Sample Data: US Ozone 2021\>\"",
#& ,
BoxID -> "ResourceTag-Sample Data: US Ozone 2021-Input",
AutoDelete->True]\), "Data"]]
Out[4]=
Create a set of random points and compute the estimated values at these locations:
In[5]:=
pts = RandomGeoPosition[ResourceData[\!\(\*
TagBox["\"\<Sample Data: US Ozone 2021\>\"",
#& ,
BoxID -> "ResourceTag-Sample Data: US Ozone 2021-Input",
AutoDelete->True]\), "Data"]["ObservationRegion"], 2000];
vals = est[pts];

Visualize rainfall values over the whole region:

In[6]:=
PointValuePlot[pts -> vals, ColorFunction -> "Rainbow"]
Out[6]=

Gosia Konwerska, "Sample Data: US Ozone 2021" from the Wolfram Data Repository (2022)  

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