Volcanic hazard maps

National Geology and Mining Service

datasetViewer.description

A hazard or threat map identifies areas exposed to the direct and indirect effect of possible volcanic eruptions, through different forms and scales of representation, which distinguishes each of the possible processes during an eruption, and proposes a simpler and more integrated zoning. A map is a contribution to the management of eventual 'crises'. That is, events where there is high uncertainty about the eruptive scenarios and their impacts; and high pressure on the authorities in charge of making decisions.

datasetViewer.preview

datasetViewer.previewCollectionInfo

NombreTerritorioPeligrosidad
TaapacaArica y ParinacotaAlta
ParinacotaArica y ParinacotaAlta
GüallatiriArica y ParinacotaAlta
IslugaTarapacáBaja
IrruputuncuTarapacáModerada
·········
CorcovadoLos LagosAlta
MelimoyuAysénModerada
MentolatAysénBaja
MacáAysénAlta
HudsonAysénAlta

datasetViewer.spatialCoverage

datasetViewer.spatialCoverageInfo datasetViewer.mapView

datasetViewer.download

datasetViewer.download1 datasetViewer.here. datasetViewer.download3

datasetViewer.programaticAccess

datasetViewer.programaticAccess1 itrend-ds:TBRT56GD2I9BW7CP

datasetViewer.programaticAccess2 Nombre

datasetViewer.programaticAccess3 datasetViewer.programaticAccess4 datasetViewer.programaticAccess5 datasetViewer.here

```python import pytrend import pandas as pd session = pytrend.itrend_developer_tools() session.set_credentials( access_key_id = '', # Type your access_key_id secret_access_key = '' # Type your secret_access_key ) # Dataset dataset_id = 'itrend-ds:TBRT56GD2I9BW7CP' collection_id = 'Nombre' # Get available formats dataset_formats = session.get_dataset_formats(dataset_id) fmt = dataset_formats[0] # Choose your preferred format: dataset_formats = [csv, xlsx] # Download file response = session.download_file(dataset_id, fmt) # Download an element filename = response.get('filename') delimiter = response.get('delimiter') df = pd.read_csv(filename, delimiter) element_formats = session.get_element_formats(dataset_id) efmt = element_formats[0] # Choose your preferred format: element_formats = [pdf, geojson, shp] for r, row in df.iterrows(): element_id = row[collection_id] element_response = session.download_file(dataset_id, efmt, element_id) break ```

datasetViewer.attribution

datasetViewer.attributionMessage1

datasetViewer.attribution1 National Geology and Mining Service, «Volcanic hazard maps». datasetViewer.attribution2

datasetViewer.attributionMessage2

datasetViewer.attribution3 National Geology and Mining Service («Volcanic hazard maps»), datasetViewer.attribution4

datasetViewer.permanentLink

datasetViewer.permanentLinkDescription

https://www.plataformadedatos.cl/datasets/en/TBRT56GD2I9BW7CP

datasetViewer.metadata

datasetViewer.noMetadata