পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| Spatial SAC Model× | Spatial Lag Model (SAR / Spatial Autoregressive)× | |
|---|---|---|
| ক্ষেত্র | স্থানিক বিশ্লেষণ | স্থানিক বিশ্লেষণ |
| পরিবার | Regression model | Regression model |
| উদ্ভবের বছর≠ | 2009 | 1988 |
| প্রবর্তক≠ | James LeSage & R. Kelley Pace | Anselin (textbook formalisation); LeSage & Pace |
| ধরন≠ | Combined spatial dependence regression model | Spatial autoregressive regression |
| মৌলিক উৎস≠ | LeSage, J., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press. ISBN: 978-1-4200-6424-7 | Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic. DOI ↗ |
| অপর নাম | SARAR Model, Spatial Autoregressive Model with Autoregressive Disturbances, Cliff-Ord Combined Model, Uzamsal Otoregresif Birleşik Model | SAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag) |
| সম্পর্কিত≠ | 3 | 5 |
| সারসংক্ষেপ≠ | The Spatial Autoregressive Combined (SAC) model, also known as the SARAR model, simultaneously accounts for spatial dependence in both the dependent variable and the error term. Formalized by LeSage and Pace (2009), the SAC model combines the spatial lag model and the spatial error model into a single framework, estimating two distinct spatial autoregressive parameters — one capturing substantive spatial interaction among outcomes and another capturing residual spatial correlation among disturbances. | The Spatial Lag Model is an autoregressive regression that assumes spatial dependence in the dependent variable itself: the outcome values of neighbouring units enter the model as an explanatory term (ρWy). It was formalised in Anselin's Spatial Econometrics (1988) and developed further by LeSage and Pace (2009), and it decomposes spillover effects into direct, indirect, and total impacts. |
| ScholarGateডেটাসেট ↗ |
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