Geoanalytical information system of the Far East and the Arctic

The geoanalytical information system of the Far East and the Arctic is created and developed to provide spatially localized support for ongoing projects of socio-economic development of the territories that are part of the Far Eastern Federal District and the Arctic zone of the Russian Federation.

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26 performance indicators of business potentials
>100000 objects captured on the geo-map
All largest cities of the Far East and the Arctic zones of the Russian Federation

The geosystem is based on OSM data, housing and communal services reforms, Rosstat, POI objects, construction dynamics, commercial real estate, mobile operators, Yandex.

Available geodata make it possible to conduct multi-level analysis of the socio-economic state of territories:

  1. Macro level which includes indicators at the level of subjects, municipalities (including municipal districts), urban districts and settlements. It also includes data on the size and density of the population, statistical and calculated data on the income of the population, the distribution of objects of retail chains, sports and tourism themes, the distribution of commercial real estate, the distribution of points of interest (POI), etc.  
  • Micro level which includes information on objects of municipal importance (social, administrative, medical, cultural, etc.), new buildings, commercial real estate, construction dynamics (including unfinished), urban population density and other data necessary for urban geoanalytics. It also includes the possibility of highlighting intracity zones for comparison and analysis, highlighting zones of walking distance, comfort of the urban environment (urban module), local comfort of starting a business (assessment of business potentials).    

A few examples of implemented projects to support urban development:

Geomodel of business potentials of the urban environment

Модель оценки бизнес-потенциалов – интерактивная тепловая карта в баллах, которая содержит математически агрегированные «потенциалы» мест под определенный вид.

The model is based on Big Data from open and closed sources, such as the number of people living in a certain area, their income, existing business points, crowded places, traffic generators, competition, etc. The model was developed by specialists from the Center for Spatial Research (Geointellect).

Geomodel for assessing the comfort of the urban environment - Urban module.

The urban module allows you to analyze city blocks for a comfortable stay.  

The mathematical model underlying the comfort index takes into account car and pedestrian accessibility to city facilities: shopping centers, grocery and other stores, schools, kindergartens, medical institutions, railway stations, airports, etc. The graph of car traffic, pedestrian a graph and, preferably, a schedule of public transport. 

The section "Consolidated index of comfort" allows to adjust the indicators of living comfort. The output is the following visualization of the model that includes an interactive map with quarters painted in different colors, depending on the composite index of comfort where red means low comfort index while green means high comfort index.

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