Focus and Scope

Aims and Scope The primary aim of EUREKA is to disseminate cutting-edge research that develops or applies rigorous quantitative methods to analyze data with space and time dimensions. We welcome contributions that offer novel methodological insights or innovative applications of existing models to solve contemporary problems.

Key Topics of Interest The journal specifically focuses on, but is not limited to, the following areas:

• Spatial Analysis & Econometrics:

  • Spatial autoregressive models (SAR, SEM, SDM).

  • Geographically Weighted Regression (GWR) and spatial heterogeneity.

  • Spatial point patterns and geostatistics.

• Time Series Analysis:

  • Univariate and multivariate time series modeling (ARIMA, VAR, GARCH).

  • Non-linear dynamics, forecasting, and structural break analysis.

  • Cointegration and error correction models.

• Panel Data Analysis:

  • Static and dynamic panel data models (Fixed and Random Effects).

  • Panel unit root tests and cointegration in panel data.

  • Cross-sectional dependence and heterogeneous panels.

• Spatiotemporal Modeling:

  • Space-time interaction models.

  • Spatial panel data models (dynamic spatial panels).

  • Bayesian approaches to spatiotemporal mapping.

Target Audience EUREKA is designed for a global audience of:

• Statisticians and Econometricians.

• Researchers in quantitative social and natural sciences.

• Data Analysts and Policy Makers utilizing quantitative evidence.

• Graduate students and academics in related fields.

Publication Frequency [Insert Frequency, e.g., Bi-monthly / Quarterly]

Open Access Policy This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.