Selected SDG indicators processed using modern approaches with subsequent provision of output descriptive and geospatial data in the Czech and European scope
Sector: Government • Location: Czechia
Source: EU Funding & Tenders Portal
The project aims to develop an automated processing workflow for geospatial indicators selected from the global Agenda 2030 framework. Its primary benefits include analyzing suitable national and transnational data sources, identifying and selecting fitting models and processing methods within Geographic Information Systems (GIS), and automating these processes using the Python programming languag
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ongoing |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The project aims to develop an automated processing workflow for geospatial indicators selected from the global Agenda 2030 framework. Its primary benefits include analyzing suitable national and transnational data sources, identifying and selecting fitting models and processing methods within Geographic Information Systems (GIS), and automating these processes using the Python programming language. The results will include methodological procedures, scripts, output datasets, and cartographic outputs, all of which will be publicly shared with other EU members. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
