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#The geodist database drivers

Our investigation demonstrates the fiscal stance (FS) positively responds to positive oil price shocks at medium quantile of FS and at lower to the higher quantile of oil price. In doing so, we apply Cross-Quantilogram and Dynamic Simulated Autoregressive Distributed Lags (DSARDL) to analyse time-series data from January 2011 to August 2021. Given the considerable hydrocarbon dependency, we scrutinise the resilience of the Russian fiscal stance to international oil and gas prices at the first phase of this study. The current transition to a greener economy affects world markets dynamics.

#The geodist database drivers

Focusing on the socio-economic drivers of energy demand in this manner provides useful insights into the local context that defines the energy system. The results quantitatively demonstrate the value of this approach, with the final energy demand in some sectors varying by as much as double or threefold compared with a population weighting. The authors apply this multi-dimensional approach to a rural case study region, carefully examining the range of energy usage indicators in each sector before selecting the most suitable. This paper proposes a novel conceptual framework to address these gaps using a combination of local energy usage indicators and national unit energy consumption statistics. This paper identifies four key limitations in the literature: over-reliance on simple population-based proportioning, a narrow focus on building energy, subsequent omission of transport energy in the majority of studies and a lack of transparency in a significant number of studies.

However, there is a lack of clarity within existing literature on how best to determine a complete regional energy balance including industry, residential, services, agriculture, and transport sectors. For example, to find all documents within five kilometers of a given lat/lon point, you could enter &q=*:*&fq=&sfield=store&pt=45.15,-93.A vital first step for regional energy transitions is to develop an understanding of the current energy balance and related carbon dioxide emissions. Another way of looking at it is that it creates a circular shape filter. The geofilt filter allows you to retrieve results based on the geospatial distance (the “great circle distance”) from a given point. (Advanced option RPT and BBoxField field types only) If you only want the query to score (with the above score local-param), not filter, then set this local-param to false.

area2D – cartesian coordinates based area of the overlapping shapes expressed in terms of the distanceUnits configured for this field.

area – haversine based area of the overlapping shapes expressed in terms of the distanceUnits configured for this field.

overlapRatio – The relative overlap between the indexed shape & query shape.

When used with BBoxField,additional options are supported:

distance – distance between the field value and the specified center point in the distanceUnits configured for this field.

degrees – distance in degrees between the field value and the specified center point.

miles – distance in miles between the field value and the specified center point.

kilometers – distance in kilometers between the field value and the specified center point.

as the main query in q), this local-param determines what scores will be produced. (Advanced option RPT and BBoxField field types only) If the query is used in a scoring context (e.g. Otherwise, “x,y” for PointType or “x y” for RPT field types. The center point using the format “lat,lon” if latitude & longitude. (RPT & BBoxField can set other units via the setting distanceUnits) The radial distance, usually in kilometers. Searching documents based on their location:īoth filters support following parameters: For non-geodetic points, the order is x,y for PointType, and for RPT you must use a space instead of a comma, or use WKT( Well-known text ( WKT) is a text markup language for representing vector geometry objects Ex: POLYGON ((30 10, 40 40, 20 40, 10 20, 30 10)). They can both be used simultaneously for what each does best – LatLonType for sorting/boosting, RPT for filtering.įor indexing geodetic points (latitude and longitude), supply the pair of numbers as a string with a comma separating them in latitude then longitude order. RPT offers more features than LatLonType and fast filter performance, although LatLonType is more appropriate when efficient distance sorting/boosting is desired.

SpatialRecursivePrefixTreeFieldType (RPT for short) – Fast filter performance.

LatLonType – Better for distance sorting/boosting.

Sort or boost scoring by distance between points, or relative area between rectanglesįollowing field types are available for spatial search:.

Filter search results by a bounding box or circle or by other shapes.

Solr supports location data for use in spatial/geospatial searches. In this article we will see how solr supports spatial search.