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<idAbs>Mapa Datos_Estadisticos_25k del proyecto ArcGIS Pro Datos_Estadisticos_25k. Constituye la organización cartográfica del producto de datos estadísticos de coberturas agrupadas de la tierra de la Amazonia colombiana a escala 1:25.000 de SIMCOBA, para los cortes 2024_SI (enero de 2024), 2024_SII (julio de 2024), 2024_IV (octubre de 2024), 2025_I (enero de 2025), 2025_II (abril de 2025), 2025_III (julio de 2025), 2025_IV (octubre de 2025), 2026_I (enero de 2026) y 2026_II (abril de 2026). No constituye una fuente de datos propia: integra la capa de entidades Qcob_hist_wm, que representa las unidades de cobertura simbolizadas por cobertura agrupada sobre el mapa base institucional del SIAT-AC, y las tablas independientes Tbl_Datos_Est (fuente analítica de indicadores, tablas y gráficas), Tbl_Dom_Periodos (dominio del selector de periodo) y Area_Total_UER (área territorial de las Unidades Espaciales de Referencia, denominador de los indicadores de área). En el tablero, la capa soporta la visualización del mapa; Tbl_Datos_Est alimenta el indicador de área monitoreada por SIMCOBA, las tablas de coberturas agrupadas y detalladas y las gráficas multiperiodo y por condición; Tbl_Dom_Periodos alimenta el selector de periodo, y Area_Total_UER, el indicador de área total de la Unidad Espacial de Referencia. Cada recurso integrado cuenta con su propio registro de metadatos con su consulta de origen y su diccionario de atributos. La información se administra en la base de datos PostgreSQL/PostGIS corporativa del Instituto SINCHI y se estructura mediante consultas (Query Layers) en ArcGIS Pro. Actualización trimestral.</idAbs>
<idPurp>Permitir la consulta, la visualización y la organización cartográfica de los datos estadísticos de coberturas agrupadas de la tierra de la Amazonia colombiana a escala 1:25.000, reuniendo en un solo mapa la capa espacial y las tablas que alimentan el tablero.</idPurp>
<idCredit>Instituto Amazónico de Investigaciones Científicas SINCHI (2026). Datos estadísticos de coberturas agrupadas de la tierra de la Amazonia colombiana escala 1:25.000. Versión 1. Programa Modelos de Funcionamiento y Sostenibilidad – Laboratorio de Sistemas de Información Geográfica y Sensoramiento Remoto.</idCredit>
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<rpIndName>Uriel Gonzalo Murcia</rpIndName>
<rpOrgName>Instituto Amazónico de Investigaciones Científicas - SINCHI</rpOrgName>
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<eMailAdd>umurcia@sinchi.org.co</eMailAdd>
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<maintNote>Actualización trimestral, sujeta al ciclo oficial de monitoreo de SIMCOBA.</maintNote>
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<keyword>Colombia</keyword>
<keyword>Amazonia colombiana</keyword>
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<keyword>SIAT-AC</keyword>
<keyword>SIMCOBA</keyword>
<keyword>Coberturas de la Tierra</keyword>
<keyword>Coberturas agrupadas de la tierra 25K</keyword>
<keyword>Monitoreo de coberturas</keyword>
<keyword>Monitoreo trimestral</keyword>
<keyword>Datos estadísticos</keyword>
<keyword>Escala 1:25.000</keyword>
<keyword>Instituto Amazónico de Investigaciones Científicas - SINCHI</keyword>
<keyword>Programa Modelos de Funcionamiento y Sostenibilidad</keyword>
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<keyword>Amazonia colombiana</keyword>
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<keyword>Coberturas agrupadas de la tierra 25K</keyword>
<keyword>Monitoreo de coberturas</keyword>
<keyword>Monitoreo trimestral</keyword>
<keyword>Datos estadísticos</keyword>
<keyword>Escala 1:25.000</keyword>
<keyword>Instituto Amazónico de Investigaciones Científicas - SINCHI</keyword>
<keyword>Programa Modelos de Funcionamiento y Sostenibilidad</keyword>
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<useLimit>Instituto Amazónico de Investigaciones Científicas SINCHI (2026). Todos los derechos reservados. Cualquier uso de este recurso requiere autorización previa del Instituto SINCHI. En los casos autorizados, deberá citarse al Instituto SINCHI como fuente de la información. Licencia Creative Commons Atribución 4.0 Internacional (CC BY 4.0). Los datos se publican como datos abiertos de conformidad con la Ley 1712 de 2014 y la normativa colombiana vigente.</useLimit>
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<othConsts>Instituto Amazónico de Investigaciones Científicas SINCHI (2026). Todos los derechos reservados. Cualquier uso de este recurso requiere autorización previa del Instituto SINCHI. En los casos autorizados, deberá citarse al Instituto SINCHI como fuente de la información. Licencia Creative Commons Atribución 4.0 Internacional (CC BY 4.0). Los datos se publican como datos abiertos de conformidad con la Ley 1712 de 2014 y la normativa colombiana vigente.</othConsts>
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<exDesc>Amazonia colombiana</exDesc>
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<statement>La información se genera en el Instituto Amazónico de Investigaciones Científicas – SINCHI, Programa Modelos de Funcionamiento y Sostenibilidad, de acuerdo con la metodología y el protocolo institucional de generación de información de SIMCOBA y según los parámetros establecidos al interior del Instituto. La metodología comprende cuatro fases: recopilación de insumos, estructuración, producción y verificación de resultados. Cadena: fuentes corporativas PostgreSQL/PostGIS → Query Layers configuradas en ArcGIS Pro → recursos del mapa Datos_Estadisticos_25k (capa Qcob_hist_wm; tablas independientes Tbl_Datos_Est, Tbl_Dom_Periodos y Area_Total_UER) → tablero de datos estadísticos. Cada recurso integrado conserva su propio linaje en su registro de metadatos.</statement>
<prcStep>
<stepDesc>Recopilación de insumos: coberturas de la tierra a escala 1:25.000 de la vista materializada e2_modfun_pub.cob_periodos_25k_s40_ui_mv y relaciones territoriales oficiales de la región, los departamentos, los municipios y las CAR, para los cortes 2024_SI (enero de 2024), 2024_SII (julio de 2024), 2024_IV (octubre de 2024), 2025_I (enero de 2025), 2025_II (abril de 2025), 2025_III (julio de 2025), 2025_IV (octubre de 2025), 2026_I (enero de 2026) y 2026_II (abril de 2026).</stepDesc>
</prcStep>
<prcStep>
<stepDesc>Producción: en ArcGIS Pro se configuró una Query Layer por recurso y se integraron en el mapa Datos_Estadisticos_25k la capa Qcob_hist_wm y las tablas independientes Tbl_Datos_Est, Tbl_Dom_Periodos y Area_Total_UER.</stepDesc>
</prcStep>
<prcStep>
<stepDesc>Verificación de resultados: los recursos se verificaron conforme al protocolo institucional antes de su uso en el tablero.</stepDesc>
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