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Plugin-ul Heatmap
The Heatmap plugin uses Kernel Density Estimation to create a density (heatmap)
raster of an input point vector layer. The density is calculated based on the
number of points in a location, with larger numbers of clustered points resulting
in larger values. Heatmaps allow easy identification of “hotspots” and
clustering of points.
Activarea plugin-ului Heatmap
First this core plugin needs to be activated using the Plugin Manager (see
Dialogul Plugin-urilor). After activation, the heatmap icon
can be found in the Raster Toolbar, and under the
menu.
Selectați meniul pentru a arăta Bara de Instrumente, dacă aceasta nu este vizibilă.
Folosirea plugin-ului Heatmap
Clicking the Heatmap tool button opens the Heatmap plugin dialog
(see figure_heatmap_2).
Dialogul are următoarele opțiuni:
- Input point layer: Lists all the vector point layers in the current project
and is used to select the layer to be analysed.
- Output raster: Allows you to use the button to select the folder and
filename for the output raster the Heatmap plugin generates. A file extension
is not required.
- Output format: Selects the output format. Although all formats supported
by GDAL can be choosen, in most cases GeoTIFF is the best format to choose.
- Radius: Is used to specify the heatmap search radius (or kernel bandwidth) in meters
or map units. The radius specifies the distance around a point at which the influence
of the point will be felt. Larger values result in greater smoothing, but smaller
values may show finer details and variation in point density.
Atunci când este bifată caseta Advanced, vor fi disponibile opțiuni adiționale:
- Rows and Columns: Used to change the dimensions of the output raster.
These values are also linked to the Cell size X and Cell size Y values.
Increasing the number of rows or columns will decrease the cell size and increase the
file size of the output file. The values in Rows and Columns are also linked, so doubling
the number of rows will automatically double the number of columns and the cell sizes will
also be halved. The geographical area of the output raster will remain the same!
- Cell size X and Cell size Y: Control the geographic size of each pixel in the output
raster. Changing these values will also change the number of Rows and Columns in the output
raster.
- Kernel shape: The kernel shape controls the rate at which the influence of a point
decreases as the distance from the point increases. Different kernels decay at
different rates, so a triweight kernel gives features greater weight for distances closer
to the point then the Epanechnikov kernel does. Consequently, triweight results in “sharper”
hotspots, and Epanechnikov results in “smoother” hotspots. A number of standard kernel functions
are available in QGIS, which are described and illustrated on Wikipedia.
- Decay ratio: Can be used with Triangular kernels to further control how heat from
a feature decreases with distance from the feature.
O valoare de 0 (=minimum) indică o căldură concentrată în centrul razei date, și complet stinsă la margine.
O valoare de 0.5 indică faptul că pixelii de la marginea razei vor primi jumătate din “căldura” pe care o primesc pixelii aflați în centrul razei de căutare.
O valoare de 1 semnifică distribuirea uniformă a căldurii pe întreaga rază a cercului de căutare. (Acest lucru este echivalent cu kernel-ul ‘Uniform’.)
O valoare mai mare decât 1 indică o căldură mai mare înspre marginea razei de căutare, decât în centru.
Stratul punctelor de intrare poate avea, de asemenea, câmpuri atribut, care pot afecta modul de influențare a hărții calorice:
- Use radius from field: Sets the search radius for each feature from an attribute field in the input layer.
- Use weight from field: Allows input features to be weighted by an attribute field. This can be used to
increase the influence certain features have on the resultant heatmap.
Când este specificat ca ieșire un nume de fișier raster, butonul [OK] poate fi utilizat pentru a crea harta calorică.
Tutorial: Crearea unei Hărți Calorice
For the following example, we will use the airports vector point layer from
the QGIS sample dataset (see Date eșantion). Another exellent QGIS
tutorial on making heatmaps can be found at http://qgis.spatialthoughts.com.
În Figure_Heatmap_1, sunt afișate aeroporturile din Alaska.
Figure Heatmap 1:
- Select the Heatmap tool button to open the Heatmap dialog
(see Figure_Heatmap_2).
- In the Input point layer field, select airports
from the list of point layers loaded in the current project.
- Specify an output filename by clicking the button next to the
Output raster field. Enter the filename heatmap_airports (no
file extension is necessary).
Lăsați GeoTIFF ca Format de ieșire implicit.
Schimbați valoarea Razei la 1000000 metri.
Clic pe [OK] pentru a crea și încărca harta calorică Aeroporturi (a se vedea Figure_Heatmap_3).
Figure Heatmap 2:
QGIS will generate the heatmap and add the results to your map window. By default, the heatmap
is shaded in greyscale, with lighter areas showing higher concentrations of airports. The heatmap
can now be styled in QGIS to improve its appearance.
Figure Heatmap 3:
- Open the properties dialog of the heatmap_airports layer (select the layer
heatmap_airports, open the context menu with the right mouse button and select
Properties).
Selectați fila Stil.
- Change the Render type to ‘Singleband pseudocolor’.
- Select a suitable Color map , for instance YlOrRed.
Clic p butonul [Load] pentru a obține valorile minime și maxime din raster, apoi faceți clic pe butonul [Classify].
Apăsați [OK] pentru a actualiza stratul.
Rezultatul final este prezentat în Figure_Heatmap_4.
Figure Heatmap 4: