Aggregate point data into x/y bins of a given size in meters to form a dense spatial grid, computing the specified aggregate (using agg_type) across all points in each bin as the output value for the bin. A Gaussian average is then taken over the neighboring bins, with the number of bins specified by neighborhood_fill_radius, optionally only filling in null-valued bins if fill_only_nulls is set to true.
The graph shortest path is then computed between an origin point on the grid specified by origin_x and origin_y and a destination point on the grid specified by destination_x and destination_y, where the shortest path is weighted by the nth exponent of the computed slope between a bin and its neighbors, with the nth exponent being specified by slope_weighted_exponent. A max allowed traversable slope can be specified by slope_pct_max, such that no traversal is considered or allowed between bins with absolute computed slopes greater than the percentage specified by slope_pct_max.
SELECT * FROM TABLE(
tf_raster_graph_shortest_slope_weighted_path(
raster => CURSOR(
SELECT x, y, z FROM table
),
agg_type => <'AVG'|'COUNT'|'SUM'|'MIN'|'MAX'>,
bin_dim => <meters>,
geographic_coords => <true/false>,
neighborhood_fill_radius => <num bins>,
fill_only_nulls => <true/false>,
origin_x => <origin x coordinate>,
origin_y => <origin y coordinate>,
destination_x => <destination x coordinate>,
destination_y => <destination y coordinate>,
slope_weighted_exponent => <exponent>,
slope_pct_max => <max pct slope>
)
Input Arguments
Output Columns
/* Compute the shortest slope weighted path over a 30m Copernicus
Digital Elevation Model (DEM) input raster comprising the area around Mt. Everest,
to compute the shorest slope-weighted path from the plains of Nepal to the peak */
create table mt_everest_climb as
select
path_step,
st_setsrid(st_point(x, y), 4326) as path_pt
from
table(
tf_raster_graph_shortest_slope_weighted_path(
raster => cursor(
select
st_x(raster_point),
st_y(raster_point),
z
from
copernicus_30m_mt_everest
),
agg_type => 'AVG',
bin_dim => 30,
geographic_coords => TRUE,
neighborhood_fill_radius => 1,
fill_only_nulls => FALSE,
origin_x => 86.01,
origin_y => 27.01,
destination_x => 86.9250,
destination_y => 27.9881,
slope_weight_exponent => 4,
slope_pct_max => 50
)
);
Input x-coordinate column or expression of the data to be rasterized.
Column <FLOAT | DOUBLE>
y
Input y-coordinate column or expression of the data to be rasterized.
Column <FLOAT | DOUBLE> (must be the same type as x)
z
Input z-coordinate column or expression of the data to be rasterized.
Column <FLOAT | DOUBLE>
agg_type
The aggregate to be performed to compute the output z-column. Should be one of 'AVG', 'COUNT', 'SUM','MIN', or 'MAX'.
TEXT ENCODING NONE
bin_dim
The width and height of each x/y bin . If geographic_coords is true, the input x/y units will be translated to meters according to a local coordinate transform appropriate for the x/y bounds of the data.
DOUBLE
geographic_coords
If true, specifies that the input x/y coordinates are in lon/lat degrees. The function will then compute a mapping of degrees to meters based on the center coordinate between x_min/x_max and y_min/y_max.
BOOLEAN
neighborhood_bin_radius
The radius in bins to compute the gaussian blur/filter over, such that each output bin will be the average value of all bins within neighborhood_fill_radius bins.
BIGINT
fill_only_nulls
Specifies that the gaussian blur should only be used to provide output values for null output bins (i.e. bins that contained no data points or had only data points with null Z-values).
BOOLEAN
origin_x
The x-coordinate for the starting point for the graph traversal, in input (not bin) units.
DOUBLE
origin_y
The y-coordinate for the starting point for the graph traversal, in input (not bin) units.
DOUBLE
destination_x
The x-coordinate for the destination point for the graph traversal, in input (not bin) units.
DOUBLE
destination_y
The y-coordinate for the destination point for the graph traversal, in input (not bin) units.
DOUBLE
slope_weighted_exponent
The slope weight between neighboring raster cells will be weighted by the slope_weighted_exponent power. A value of 1 signifies that the raw slopes between neighboring cells should be used, increasing this value from 1 will more heavily penalize paths that traverse steep slopes.
DOUBLE
slope_pct_max
The max absolute value of slopes (measured in percentages) between neighboring raster cells that will be considered for traversal. A neighboring graph cell with an absolute slope greater than this amount will not be considered in the shortest slope-weighted path graph traversal