<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2663-3981</journal-id>
<journal-title><![CDATA[Revista cartográfica]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. cartogr.]]></abbrev-journal-title>
<issn>2663-3981</issn>
<publisher>
<publisher-name><![CDATA[Instituto Panamericano de Geografía e Historia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2663-39812020000100195</article-id>
<article-id pub-id-type="doi">10.35424/rcarto.i100.650</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Sinfonía del Nuevo Mundo: el modelaje espaciotemporal de HGIS de las Indias, una infraestructura SIG para la América hispana borbónica]]></article-title>
<article-title xml:lang="en"><![CDATA[The New World Symphony: the spatio-temporal modeling of HGIS of the Indies; a GIS infrastructure for Bourbon Hispanic]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Stangl]]></surname>
<given-names><![CDATA[Werner]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Stangl]]></surname>
<given-names><![CDATA[Paul]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Yale University  ]]></institution>
<addr-line><![CDATA[ CT]]></addr-line>
<country>USA</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universität Graz  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Austria</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2020</year>
</pub-date>
<numero>100</numero>
<fpage>195</fpage>
<lpage>214</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2663-39812020000100195&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2663-39812020000100195&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2663-39812020000100195&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Este artículo aborda las dificultades básicas del modelado de una infraestructura SIG para la historia de la Hispanoamérica borbónica, donde se busca reconstruir una docena de &#8220;niveles&#8221; territoriales y el desarrollo de poblaciones dentro de América. El trabajo pretende incluir la región comprendida desde California y Luisiana hasta la Patagonia, para un período de 108 años (1701-1808). Por la multiplicidad de incertidumbres en diferentes aspectos (espaciales, temporales, cualitativos), resulta particularmente difícil diseñar un modelo de las entidades territoriales y su cambio a través del tiempo. Se explica cómo hemos intentado aislar diferentes tipos de incertidumbres, creando cronologías parciales en lugares incluidos dentro de la base de datos. Concretamente, analizaremos la forma como fueron ensambladas las diferentes partes y se integraron a una geodatabase con una cronología de validez única, basada en búsquedas SQL sobre las cronologías parciales. Además, presentaremos el workflow implementado para posibilitar la conversión automática de simples tablas en shapefiles a través del interfaz de nuestro sitio-web. A modo de conclusión, será presentado el workflow y un gráfico sinóptico del sistema que visualiza cómo las diferentes partes interactúan para formar una infraestructura estable para un SIG espacio-temporal, el cual fácilmente puede reimplementarse para otras áreas y períodos históricos.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract This article outlines the basic difficulties for the modelling of a historical GIS data infrastructure on Bourbon Spanish America which aims at providing reconstructions of a dozen territorial &#8220;levels&#8221; and settlements across the double continent, from California and Louisiana to Patagonia, for a period of 108 years (1701-1808). Due to the manifold sources of uncertainty at many levels it is particularly demanding to successfully model the spatial embodiment of territorial entities and their change over time. In this text, we explain how we isolate different types of uncertainty and create different chronologies across the database. In more detail, we will show how we reassemble the different parts and integrate them into a geodatabase with a single chronology based on queries on the different partial chronologies. Also, we show how this workflow has been implemented to allow automatic creation of shapefiles from simple tables through the interface of our homepage. Instead of a narrative conclusion, we present a synoptic graphic visualizing how the different parts and processes provide a stable framework for a GIS data infrastructure covering a complete period of time -a framework that can be easily be re-implemented for different fields, regions, and periods.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[SIG histórico]]></kwd>
<kwd lng="es"><![CDATA[modelaje de base de datos]]></kwd>
<kwd lng="es"><![CDATA[composiciones espacio-temporal]]></kwd>
<kwd lng="es"><![CDATA[incertidumbre]]></kwd>
<kwd lng="en"><![CDATA[historical GIS]]></kwd>
<kwd lng="en"><![CDATA[database modelling]]></kwd>
<kwd lng="en"><![CDATA[space-time composites]]></kwd>
<kwd lng="en"><![CDATA[uncertainty]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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