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Even though Southeast Asia is one of the most densely populated regions of the world, its rock art is relatively unknown, and the rock art of Micronesia is even less so. As a starting point for comparing Philippine rock art within the region, a systematic quantitative literature review (SQLR) was conducted to assess the current body of accessible publications. The SQLR resulted in 126 viable references, and characteristics of those references were quantified and analyzed to ascertain the qualities of research published to date. The SQLR results show that scholarship in Southeast Asian rock art is increasing and that the research is dominated by Australia-affiliated scholars. It also quantitatively affirmed that the most noted color for rock art in the region is red and the most commonly identified motif is anthropomorphic. Many motifs found elsewhere in Southeast Asia are notably absent in the known corpus of Philippine rock art. Finally, we discuss SQLR methodology and propose integrating collaborative semantic web applications to increase efficiency and relevance.

In this paper, a previously undescribed rock art style consisting of large human figures and animals with stroke-line infill is introduced. These depictions have been named Maliwawa Figures. They are primarily found in northwest Arnhem Land and to date have been recorded at 87 sites from Awunbarna (Mount Borradaile area) to the Namunidjbuk clan state of the Wellington Range. There are solitary figures and others arranged in compositions or scenes. We describe the features of this style, its distribution, subject matter and probable age. The results of a detailed analysis of all sites are discussed and a new, refined Arnhem Land rock art chronology is presented. It is concluded that Maliwawa Figures are most likely to date between 6,000 to 9,400 years of age and to be contemporaneous with Northern Running Figures and Yam Figures found at sites to the south.

Structure from motion (SfM) photogrammetry and geographic information system (GIS) tools were used to document an engraving site in Bontoc, Philippines. The natural discolorations of the rock obfuscated the engravings rendering traditional recording methods ineffective. Using a GIS software not only highlighted the engravings by applying an algorithm, but also allowed for a pioneering way to digitally trace and classify motifs, resulting in a spatially linked database. The digital tracings were also compared with manual tracings and proved to be more accurate. The database was then quantitatively analyzed for the seminal inventory of the rock art of Alab, Bontoc. This combination of SfM photogrammetry and GIS tools introduces a cost‐efficient method to effectively enhance, document, and analyze engraved rock art.

Majuro Atoll in the central Pacific has high coastal vulnerability due to low-lying islands, rising sea level, high wave events, eroding shorelines, a dense population center, and limited freshwater resources. Land elevation is the primary geophysical variable that determines exposure to inundation in coastal settings. Accordingly, coastal elevation data (with accuracy information) are critical for assessments of inundation exposure. Previous research has demonstrated the importance of using high-accuracy elevation data and rigorously accounting for uncertainty in inundation assessments. A quantitative analysis of inundation exposure was conducted for Majuro Atoll, including accounting for the cumulative vertical uncertainty from the input digital elevation model (DEM) and datum transformation. The project employed a recently produced and validated DEM derived from structure-from-motion processing of very-high-resolution aerial imagery. Areas subject to marine inundation (direct hydrologic connection to the ocean) and low-lying lands (disconnected hydrologically from the ocean) were mapped and characterized for three inundation levels using deterministic and probabilistic methods. At the highest water level modeled (3.75 ft, or 1.143 m), more than 34% of the atoll study area is likely to be exposed to inundation (68% chance or greater), while more than 20% of the atoll is extremely likely to be exposed (95% chance or greater). The study demonstrates the substantial value of a high-accuracy DEM for assessing inundation exposure of low-relief islands and the enhanced information from accounting for vertical uncertainty.