Track papers across labs, topics, and trends.
Search papers, labs, and topics across Lattice.
This paper analyzes land enclosure in the Pantai Indah Kapuk 2 (PIK2) coastal mega-development in Indonesia using 8 years of Sentinel-2 land-use data. The study projects the landscape onto a Marxian probability simplex and uses Fisher-Rao geodesic distances to quantify the transformation pulse, finding a peak during major construction. Absorbing Markov chain analysis estimates absorption times into the built environment, while percolation analysis and fractal dimension measurements reveal planned, rather than stochastic, urban growth patterns.
Capitalist land grabs aren't random sprawl: information-theoretic analysis reveals the surprisingly deterministic and quantifiable nature of mega-development enclosure in Indonesia.
Large-scale land enclosure for speculative mega-development constitutes a non-equilibrium spatial process whose velocity, topology, and irreversibility remain poorly quantified. We study the Pantai Indah Kapuk 2 (PIK2) coastal mega-development north of Jakarta, Indonesia, using eight years (2017--2024) of Sentinel-2 land-use/land-cover (LULC) data at 10-meter resolution. The landscape is projected onto a Marxian probability simplex partitioning terrestrial pixels into Commons, Agrarian, and Capital fractions. Fisher-Rao (FR) geodesic distances on this simplex identify a transformation pulse of $0.405$~rad/yr during 2019--2020, coinciding with major construction activity. Absorbing Markov chain analysis yields expected absorption times into the built environment of $46.0$~years for cropland and $38.1$~years for tree cover, with a pooled built-area self-retention rate of $96.4\%$. Percolation analysis reveals that a giant connected component containing $89$--$95\%$ of all built pixels persists at occupation probabilities $p \in [0.096, 0.162]$, far below the random percolation threshold $p_c \approx 0.593$, indicating planned rather than stochastic spatial growth. The box-counting fractal dimension of the urban boundary increases from $d_f = 1.316$ to $1.397$, consistent with increasingly irregular frontier expansion. These results suggest that information-geometric and statistical-mechanical tools can characterize the kinematic and topological signatures of capitalist spatial accumulation with quantitative precision.