Geospatial data is the geographical data having location data recorded with references to coordinates (latitude and longitude), address and postal code. Geospatial analytics services combine geographic data and business data to gain insights that support business decisions.

In today's competitive market, to achieve growth and success businesses need realistic insights. Companies need to analyse data from multiple sources and analyse data to get some meaningful information which will help to drive the business. Spatial Analytics is an interesting, complex process that gives very useful insights for business success. Sathyamedha’s “Spatial Analytics for Climate Change Adaptation” services will gather, analyse and deliver clearly presented insights to businesses to ensure business success to our customers. It makes a clear path to competitive advantage allowing customers to substantially enhance their services and profitability. Our service provides access to varying content repositories, presenting and delivering within the company or externally over the web.

Sathyamedha's Spatial Analytics team has experience in "Network Analysis" and "Geo-Visualization" aspects of Spatial Analytics. The team at Sathyamedha is providing best spatial data analytics services to ensure business results to customers. Sathyamedha's spatial data analytics team will research, analyse, plan and execute projects to get better result to the clients’ business.

• Spatial ESRI – File processing
  • Different types of shapes
  • ESRI – File generation
• Data simulation for spatial model using various distributions
  • Normal
  • Binomial
  • Log uniformed
• Normalization of data
  • Row stochastic normalization
• Model prediction
  • Prediction of model data
  • Prediction of model parameters
    • EM (Estimate maximizations)
    • ML (Maximization of likelihood)
  • BLUP or BLUE (To be elevated)
  • MSE, R-Square and SD calculation prediction
  • Model parameter estimation and model missing data estimation with MSE, R2 and SD industry best values
  • Cluster and non-cluster processing
• Spatial contiguity
  • Different type of spatial contiguity
• Spatial lag
• Spatial heterogeneity
• Parallel processing of spatial model
• Models supported
• SAR (spatial Auto Regression)
• Solving model
• Conditional mean of equations(Y) – Mue
• Co-variance structure of equation – Sign
• Precision matrix of equation – Q
• SDM (Durbin Model)
• Solving model
• Conditional mean of equations(Y) – Mue
• Co-variance structure of equation – Sign
• Precision matrix of equation – Q
• SEM (Error Model)
• Solving model
• Conditional mean of equations(Y) – Mue
• Co-variance structure of equation – Sign
• Precision matrix of equation – Q
• SLM (Log Model)
• Solving model
• Conditional mean of equations(Y) – Mue
• Co-variance structure of equation – Sign
• Precision matrix of equation – Q
• Visualization of estimation using scale corrected bar chart

Salient features of this service:

• Delivery
• Professional on-time delivery of projects
• Regular and transparent reporting
• Single point of contact working with customer
• Access to "information reporting services" lead
• Experienced to understand address privacy and legal aspects of geospatial data processing
• Scientific team to quickly analyse and apply correct models to the business situation
• Complex spatial models’ application is elegantly explained to the customers
• Matured team to work along with customer in an agile way keeping customer informed at each stage
• Increase in quality leads from local geography
• Accurate visualization to support decision making – No unnecessary showcasing
• Build "Spatial Analytics for Climate Change Adaptation" features specifically for your business
• Quality deliverable instills confidence and reduces questions
• Support for varied sizes of businesses from part-time sellers up to enterprise clients
• Customer experience
• Very flexible delivery
• 24/7 support
• On-boarding process support

Proven results of Sathyamedha services

• Risk mapping for climate change adoption
• Disaster risk reduction model analysis
• Disaster risk management model analysis
• Topographic analysis
• Geo process modeling
• Sensitivity levels analysis
• Socio economic activity limitations analysis
• Change detection
• Demographic analysis