With the increasing volume and active transaction of real estate properties, mass appraisal
has been widely adopted in many countries for different purposes, including assessment of …

Whether the digital economy can effectively promote agricultural green development is
crucial to the realization of agricultural rural modernization. This study empirically analyzes …

Highlights•A spatial machine learning algorithm is developed to predict land values.•The
spatial QRF method performed well in delivering predictions of rural land values.•The …

The use of machine learning models in mass appraisal of properties for tax purposes has
been extensively investigated, generating a growing volume of primary research. This study …

This study explores the relationships between risk management strategies, residual risk
perception as well as business and winegrower characteristics using a spatial …

The article discusses cadastral land valuation in Russian resort towns, a procedure flawed
by the fact that it does not take into account territorial prestige. Researchers in Russia and …

Real estate mass appraisal is increasingly gaining popularity as a critical issue, reflecting its
growing importance and widespread adoption in economic spheres. And data-driven …

Understanding the transformation of cultivated land use is crucial for advancing sustainable
development goals related to food security. However, in mountainous regions, there is a lack …

This study aims to determine whether spatial effects are determinants of agricultural land
prices in Brazil. For this purpose, data on the value of the bare land in municipalities in Brazil …

ABSTRAK Sejak Pemerintah memberlakukan Danau Toba sebagai Kawasan Strategis
Nasional (KSN), pen-ingkatan kebutuhan listrik yang berasal dari rumah tangga, komersil …